{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Learning to Control Indoor Air Temperature in Buildings\n",
    "\n",
    "This tutorial demonstrates the use of [Differentiable predictive control (DPC)](https://www.sciencedirect.com/science/article/pii/S0959152422000981) method to learn constrained neural policy for controlling indoor air temperature in a residential building model.\n",
    "\n",
    "\n",
    "## Building Thermal Comfort Control\n",
    "\n",
    "Buildings today contribute to roughly 40% of the global energy use (approx. 64 PWh), of which a large portion is used for [heating, cooling, ventilation, and air-conditioning (HVAC)](https://en.wikipedia.org/wiki/Heating,_ventilation,_and_air_conditioning) [4]. It has been demonstrated that advanced building control, like [model predictive control (MPC)](https://en.wikipedia.org/wiki/Model_predictive_control)\n",
    "or [deep reinforcement learning (DRL)](https://en.wikipedia.org/wiki/Deep_reinforcement_learning), can notably reduce the energy use and mitigate greenhouse gas emissions. However, despite intensive research efforts, the practical applications are still in the early stages. One of these challenges is the complexity of the optimal control technology to be deployed in the current predominantly rule-based [building automation systems](https://en.wikipedia.org/wiki/Building_automation).\n",
    "\n",
    "**Schematics of a Building Control Scheme**:  \n",
    "A simplified schematics of a building control scheme governed by advanced control algorithm is given as follows:\n",
    "<img src=\"./figs/building_control.PNG\" width=\"500\">  \n",
    "\n",
    "Here the optimization algorithm (MPC or DRL) takes in the measurements of the building and based on the objective criteria\n",
    "decides optimal control actions for governing the building's HVAC system. For more details about typical measurements, objective criteria, and system constraints we refer the reader to the reference [4].\n",
    "\n",
    "**Control ojective**:   \n",
    "The objective is to control the heating system in the building to achieve desired reference values for indoor air temperature while minimizing the energy use.\n",
    "In this tutorial we will demonstrate the use of new [differentiable programming-based](https://en.wikipedia.org/wiki/Differentiable_programming) control methodology for optimizing the building energy use while satisfying [thermal comfort](https://en.wikipedia.org/wiki/Thermal_comfort) constraints. \n",
    "\n",
    "\n",
    "## Differentiable Predictive Control \n",
    "\n",
    "[Differentiable predictive control (DPC)](https://www.sciencedirect.com/science/article/pii/S0959152422000981) is a model-based offline policy optimization algorithm for learning constrained control policies for dynamical systems.\n",
    "\n",
    "**Schematics of the Differentiable Predictive Control method**:  \n",
    "<img src=\"../control/figs/DPC_simple_method.png\" width=\"600\">  \n",
    "\n",
    "**Neural control policy**:  \n",
    "The objective of this tutorial is to learn neural control policy $u_k = \\pi(x_k, R)$ to control the tank levels by modulating the pump and valve control actions $u_k = [p_k, v_k]$. The policy takes in the measurements of system states $x_k$ at thime $k$, prediciton of desired references $R = [r_k, ..., r_{k+N}]$ over pre-defined horizon $N$.\n",
    "\n",
    "**Differentiable system model**:  \n",
    "The DPC is a model-based policy optimization algorithm, that exploits the differentiability of a wide class of model representations for dynamical systems, including differential equations, state-space models, or various neural network architectures. In this example, we compactly represent the system model by ODE equations  $\\text{ODESolve}(f(x^i_k, u^i_k))$  describing the governing dynamics of the controlled system. \n",
    "\n",
    "**Differentiable predictive control problem formulation**:  \n",
    "We learn the explicit neural control policy by solving the following parametric optimal control problem: \n",
    "$$\n",
    "\\begin{align}\n",
    "&\\underset{\\theta}{\\text{minimize}}     && \\sum_{i=1}^m  \\Big( \\sum_{k=1}^{N-1} Q_x||x^i_k - r^i_k||_2^2  + Q_N||x^i_N - r^i_N||_2^2 \\Big) \\\\\n",
    "&\\text{subject to}    && x^i_{k+1} =  \\text{ODESolve}(f(x^i_k, u^i_k)) \\\\\n",
    "&                     && u^i_k = \\pi_{\\theta}(x^i_k, R^i) \\\\\n",
    "&                     && 0 \\le x^i_k \\le 1 \\\\\n",
    "&                     && 0 \\le u^i_k \\le 1 \\\\\n",
    "&                     && x^i_0 \\sim \\mathcal{P}_{x_0} \\\\\n",
    "&                     && R^i \\sim  \\mathcal{P}_R\n",
    "\\end{align}\n",
    "$$  \n",
    "The objective function is to minimize the reference tracking error $||x^i_k - r^i_k||_2^2$ over pre-defined prediction horizon $N$ weighted by a scalar $Q_x$, including terminal penalty weighted by $Q_N$.  The parametric neural control policy is given by $\\pi_{\\theta}(x^i_k, R^i)$. The neural control policy is optimized over a problem parameters sampled from the distributions $\\mathcal{P}_{x_0}$, and $\\mathcal{P}_R$, for state initial conditions, and references, respectively. The parameters $\\theta$ are optimized with stochastic gradient descent.\n",
    "\n",
    "\n",
    "### Differentiable Control References\n",
    "[1] [Ján Drgoňa, Karol Kiš, Aaron Tuor, Draguna Vrabie, Martin Klaučo,\n",
    "Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems,\n",
    "Journal of Process Control, Volume 116, 2022](https://www.sciencedirect.com/science/article/pii/S0959152422000981)  \n",
    "[2] [Jan Drgona, Aaron Tuor, Draguna Vrabie, Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees, 2020, arXiv:2004.11184](https://arxiv.org/abs/2004.11184)  \n",
    "[3] [Ján Drgoňa, Aaron Tuor, Elliott Skomski, Soumya Vasisht, Draguna Vrabie,\n",
    "Deep Learning Explicit Differentiable Predictive Control Laws for Buildings,\n",
    "IFAC-PapersOnLine,\n",
    "Volume 54, Issue 6,\n",
    "2021](https://www.sciencedirect.com/science/article/pii/S2405896321012933)\n",
    "\n",
    "\n",
    "### Related Building Control References\n",
    "[4] [Ján Drgoňa, Javier Arroyo, Iago Cupeiro Figueroa, David Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L. Vrabie, Lieve Helsen,\n",
    "All you need to know about model predictive control for buildings,\n",
    "Annual Reviews in Control,\n",
    "Volume 50,\n",
    "2020](https://www.sciencedirect.com/science/article/pii/S1367578820300584)  \n",
    "[5] [Ján Drgoňa, Damien Picard, Lieve Helsen,\n",
    "Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration,\n",
    "Journal of Process Control,\n",
    "Volume 88,\n",
    "2020](https://www.sciencedirect.com/science/article/pii/S0959152419306857)  \n",
    "[6] [Zoltan Nagy, Gregor Henze, Sourav Dey, Javier Arroyo, Lieve Helsen, Xiangyu Zhang, Bingqing Chen, Kadir Amasyali, Kuldeep Kurte, Ahmed Zamzam, Helia Zandi, Ján Drgoňa, Matias Quintana, Steven McCullogh, June Young Park, Han Li, Tianzhen Hong, Silvio Brandi, Giuseppe Pinto, Alfonso Capozzoli, Draguna Vrabie, Mario Bergés, Kingsley Nweye, Thibault Marzullo, Andrey Bernstein,\n",
    "Ten questions concerning reinforcement learning for building energy management,\n",
    "Building and Environment,\n",
    "Volume 241,\n",
    "2023](https://www.sciencedirect.com/science/article/abs/pii/S0360132323004626)  \n",
    "[7] [Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, and Mario Bergés. 2021. Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. In Proceedings of the Twelfth ACM International Conference on Future Energy Systems (e-Energy '21)](https://dl.acm.org/doi/abs/10.1145/3447555.3464874)  \n",
    "[8] [Jan Široký, Frauke Oldewurtel, Jiří Cigler, Samuel Prívara,\n",
    "Experimental analysis of model predictive control for an energy efficient building heating system,\n",
    "Applied Energy,\n",
    "Volume 88, Issue 9,\n",
    "2011](https://www.sciencedirect.com/science/article/pii/S0306261911001668)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NeuroMANCER and Dependencies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Install (Colab only)\n",
    "Skip this step when running locally."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install neuromancer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Note: When running on Colab, one might encounter a pip dependency error with Lida 0.0.10. This can be ignored*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.utils.data import DataLoader\n",
    "import numpy as np\n",
    "from matplotlib.lines import Line2D\n",
    "\n",
    "import neuromancer.psl as psl\n",
    "from neuromancer.system import Node, System\n",
    "from neuromancer.modules import blocks\n",
    "from neuromancer.dataset import DictDataset\n",
    "from neuromancer.constraint import variable\n",
    "from neuromancer.loss import PenaltyLoss\n",
    "from neuromancer.problem import Problem\n",
    "from neuromancer.trainer import Trainer\n",
    "from neuromancer.plot import pltCL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## System model to be controlled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ground truth system model\n",
    "sys = psl.systems['LinearSimpleSingleZone']()\n",
    "\n",
    "# problem dimensions\n",
    "nx = sys.nx           # number of states\n",
    "nu = sys.nu           # number of control inputs\n",
    "nd = sys.nD           # number of disturbances\n",
    "nd_obs = sys.nD_obs   # number of observable disturbances\n",
    "ny = sys.ny           # number of controlled outputs\n",
    "nref = ny             # number of references\n",
    "\n",
    "# control action bounds\n",
    "umin = torch.tensor(sys.umin)\n",
    "umax = torch.tensor(sys.umax)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training dataset generation\n",
    "\n",
    "For a training dataset we randomly sample initial conditions of states, sequence of desired thermal comfort levels, and sequence of observed system disturbances over predefined prediction horizon from given distributions $\\mathcal{P}_{x_0}$, $\\mathcal{P}_R$, and $\\mathcal{P}_D$ respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data(sys, nsteps, n_samples, xmin_range, batch_size, name=\"train\"):\n",
    "    #  sampled references for training the policy\n",
    "    batched_xmin = xmin_range.sample((n_samples, 1, nref)).repeat(1, nsteps + 1, 1)\n",
    "    batched_xmax = batched_xmin + 2.\n",
    "\n",
    "    # sampled disturbance trajectories from the simulation model\n",
    "    batched_dist = torch.stack([torch.tensor(sys.get_D(nsteps)) for _ in range(n_samples)])\n",
    "\n",
    "    # sampled initial conditions\n",
    "    batched_x0 = torch.stack([torch.tensor(sys.get_x0()).unsqueeze(0) for _ in range(n_samples)])\n",
    "\n",
    "    data = DictDataset(\n",
    "        {\"x\": batched_x0,\n",
    "         \"y\": batched_x0[:,:,[-1]],\n",
    "         \"ymin\": batched_xmin,\n",
    "         \"ymax\": batched_xmax,\n",
    "         \"d\": batched_dist},\n",
    "        name=name,\n",
    "    )\n",
    "\n",
    "    return DataLoader(data, batch_size=batch_size, collate_fn=data.collate_fn, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "nsteps = 100  # prediction horizon\n",
    "n_samples = 1000    # number of sampled scenarios\n",
    "batch_size = 100\n",
    "\n",
    "# range for lower comfort bound\n",
    "xmin_range = torch.distributions.Uniform(18., 22.)\n",
    "\n",
    "train_loader, dev_loader = [\n",
    "    get_data(sys, nsteps, n_samples, xmin_range, batch_size, name=name)\n",
    "    for name in (\"train\", \"dev\")\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Partially observable white-box system model and control policy\n",
    "\n",
    "In this model-based policy optimization scenario we assume we have access to the following discrete-time partially observable lnear [state space model (SSM)](https://en.wikipedia.org/wiki/State-space_representation) representing building thermal dynamics:    \n",
    "$$\n",
    "x_{k+1} = Ax_k + Bu_k + Ed_k\\\\\n",
    "y_k = Cx_k\n",
    "$$\n",
    "where $x_k$ represent system states (building temperatures), $u_k$ are control actions governing the HVAC system (mass flow and supply temperature), $d_k$ are disturbances affecting the system (ambient temperature, solar irradiation, occupancy), and $y_k$ is the measured variable to be controlled (indoor air temperature)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract exact state space model matrices:\n",
    "A = torch.tensor(sys.A)\n",
    "B = torch.tensor(sys.Beta)\n",
    "C = torch.tensor(sys.C)\n",
    "E = torch.tensor(sys.E)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# state-space model of the building dynamics:\n",
    "#   x_k+1 =  A x_k + B u_k + E d_k\n",
    "xnext = lambda x, u, d: x @ A.T + u @ B.T + d @ E.T\n",
    "state_model = Node(xnext, ['x', 'u', 'd'], ['x'], name='SSM')\n",
    "\n",
    "#   y_k = C x_k\n",
    "ynext = lambda x: x @ C.T\n",
    "output_model = Node(ynext, ['x'], ['y'], name='y=Cx')\n",
    "\n",
    "# partially observable disturbance model\n",
    "dist_model = lambda d: d[:, sys.d_idx]\n",
    "dist_obs = Node(dist_model, ['d'], ['d_obs'], name='dist_obs')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we parametrize the control policy using deep neural networks given as:  \n",
    "$$u_k = \\pi_{\\theta}(y_k, R, D)$$\n",
    "where $y_k$ is the indoor air temperature to be controlled, $R = \\{y_{min}, y_{max}\\}$ are desired comfort levels of the indoor air temperature, and $D$ is observed disturbance (ambient air temperature)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# neural net control policy\n",
    "net = blocks.MLP_bounds(\n",
    "    insize=ny + 2*nref + nd_obs,\n",
    "    outsize=nu,\n",
    "    hsizes=[32, 32],\n",
    "    nonlin=nn.GELU,\n",
    "    min=umin,\n",
    "    max=umax,\n",
    ")\n",
    "policy = Node(net, ['y', 'ymin', 'ymax', 'd_obs'], ['u'], name='policy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now having the partially observable system model and control policy we construct differentiable closed-loop system model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# closed-loop system model\n",
    "cl_system = System([dist_obs, policy, state_model, output_model],\n",
    "                    nsteps=nsteps,\n",
    "                    name='cl_system')\n",
    "cl_system.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Differentiable Predictive Control objectives and constraints\n",
    "\n",
    "Once we have the closed-loop system model, we define the desired control objectives, i.e. energy minimizaiton, to be optimized while satisfying the thermal comfort constraints. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# variables\n",
    "y = variable('y')\n",
    "u = variable('u')\n",
    "ymin = variable('ymin')\n",
    "ymax = variable('ymax')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# objectives\n",
    "action_loss = 0.01 * (u == 0.0)  # energy minimization\n",
    "du_loss = 0.1 * (u[:,:-1,:] - u[:,1:,:] == 0.0)  # delta u minimization to prevent agressive changes in control actions\n",
    "\n",
    "# thermal comfort constraints\n",
    "state_lower_bound_penalty = 50.*(y > ymin)\n",
    "state_upper_bound_penalty = 50.*(y < ymax)\n",
    "\n",
    "# objectives and constraints names for nicer plot\n",
    "action_loss.name = 'action_loss'\n",
    "du_loss.name = 'du_loss'\n",
    "state_lower_bound_penalty.name = 'x_min'\n",
    "state_upper_bound_penalty.name = 'x_max'\n",
    "\n",
    "# list of constraints and objectives\n",
    "objectives = [action_loss, du_loss]\n",
    "constraints = [state_lower_bound_penalty, state_upper_bound_penalty]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Differentiable optimal control problem \n",
    "\n",
    "Now we put all the components together to construct differentiable optimal control problem to be optimized end-to-end over the distribution of training scenarios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# data (x_k, r_k) -> parameters (xi_k) -> policy (u_k) -> dynamics (x_k+1)\n",
    "nodes = [cl_system]\n",
    "# create constrained optimization loss\n",
    "loss = PenaltyLoss(objectives, constraints)\n",
    "# construct constrained optimization problem\n",
    "problem = Problem(nodes, loss)\n",
    "# plot computational graph\n",
    "problem.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solve the problem\n",
    "\n",
    "We solve the problem, i.e. training the neural control policy, by using stochastic gradient descent over pre-defined training data of sampled problem scenarios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "optimizer = torch.optim.AdamW(problem.parameters(), lr=0.001)\n",
    "#  Neuromancer trainer\n",
    "trainer = Trainer(\n",
    "    problem,\n",
    "    train_loader,\n",
    "    dev_loader,\n",
    "    optimizer=optimizer,\n",
    "    epochs=200,\n",
    "    train_metric='train_loss',\n",
    "    eval_metric='dev_loss',\n",
    "    warmup=200,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 0  train_loss: 50.0561408996582\n",
      "epoch: 1  train_loss: 39.851505279541016\n",
      "epoch: 2  train_loss: 38.67194747924805\n",
      "epoch: 3  train_loss: 36.50129699707031\n",
      "epoch: 4  train_loss: 34.647403717041016\n",
      "epoch: 5  train_loss: 32.670352935791016\n",
      "epoch: 6  train_loss: 31.44736671447754\n",
      "epoch: 7  train_loss: 30.292938232421875\n",
      "epoch: 8  train_loss: 29.34060287475586\n",
      "epoch: 9  train_loss: 28.425561904907227\n",
      "epoch: 10  train_loss: 27.673025131225586\n",
      "epoch: 11  train_loss: 27.086925506591797\n",
      "epoch: 12  train_loss: 26.629344940185547\n",
      "epoch: 13  train_loss: 26.299850463867188\n",
      "epoch: 14  train_loss: 26.055068969726562\n",
      "epoch: 15  train_loss: 25.87018394470215\n",
      "epoch: 16  train_loss: 25.73293113708496\n",
      "epoch: 17  train_loss: 25.621450424194336\n",
      "epoch: 18  train_loss: 25.524368286132812\n",
      "epoch: 19  train_loss: 25.43410873413086\n",
      "epoch: 20  train_loss: 25.351163864135742\n",
      "epoch: 21  train_loss: 25.272031784057617\n",
      "epoch: 22  train_loss: 25.19174575805664\n",
      "epoch: 23  train_loss: 25.114164352416992\n",
      "epoch: 24  train_loss: 25.036731719970703\n",
      "epoch: 25  train_loss: 24.96222496032715\n",
      "epoch: 26  train_loss: 24.886852264404297\n",
      "epoch: 27  train_loss: 24.809886932373047\n",
      "epoch: 28  train_loss: 24.756301879882812\n",
      "epoch: 29  train_loss: 24.675596237182617\n",
      "epoch: 30  train_loss: 24.613323211669922\n",
      "epoch: 31  train_loss: 24.55670166015625\n",
      "epoch: 32  train_loss: 24.489755630493164\n",
      "epoch: 33  train_loss: 24.428020477294922\n",
      "epoch: 34  train_loss: 24.37378692626953\n",
      "epoch: 35  train_loss: 24.324413299560547\n",
      "epoch: 36  train_loss: 24.277780532836914\n",
      "epoch: 37  train_loss: 24.240100860595703\n",
      "epoch: 38  train_loss: 24.207975387573242\n",
      "epoch: 39  train_loss: 24.169841766357422\n",
      "epoch: 40  train_loss: 24.133296966552734\n",
      "epoch: 41  train_loss: 24.108823776245117\n",
      "epoch: 42  train_loss: 24.078794479370117\n",
      "epoch: 43  train_loss: 24.056934356689453\n",
      "epoch: 44  train_loss: 24.03339958190918\n",
      "epoch: 45  train_loss: 24.010459899902344\n",
      "epoch: 46  train_loss: 23.988862991333008\n",
      "epoch: 47  train_loss: 23.971281051635742\n",
      "epoch: 48  train_loss: 23.95204734802246\n",
      "epoch: 49  train_loss: 23.92989158630371\n",
      "epoch: 50  train_loss: 23.916255950927734\n",
      "epoch: 51  train_loss: 23.895877838134766\n",
      "epoch: 52  train_loss: 23.878490447998047\n",
      "epoch: 53  train_loss: 23.86020278930664\n",
      "epoch: 54  train_loss: 23.843074798583984\n",
      "epoch: 55  train_loss: 23.826807022094727\n",
      "epoch: 56  train_loss: 23.81003761291504\n",
      "epoch: 57  train_loss: 23.794179916381836\n",
      "epoch: 58  train_loss: 23.77907943725586\n",
      "epoch: 59  train_loss: 23.76443099975586\n",
      "epoch: 60  train_loss: 23.75109100341797\n",
      "epoch: 61  train_loss: 23.733341217041016\n",
      "epoch: 62  train_loss: 23.717891693115234\n",
      "epoch: 63  train_loss: 23.70295524597168\n",
      "epoch: 64  train_loss: 23.687999725341797\n",
      "epoch: 65  train_loss: 23.675537109375\n",
      "epoch: 66  train_loss: 23.65982437133789\n",
      "epoch: 67  train_loss: 23.644603729248047\n",
      "epoch: 68  train_loss: 23.632558822631836\n",
      "epoch: 69  train_loss: 23.619701385498047\n",
      "epoch: 70  train_loss: 23.60513687133789\n",
      "epoch: 71  train_loss: 23.593368530273438\n",
      "epoch: 72  train_loss: 23.57865333557129\n",
      "epoch: 73  train_loss: 23.56783676147461\n",
      "epoch: 74  train_loss: 23.553184509277344\n",
      "epoch: 75  train_loss: 23.539325714111328\n",
      "epoch: 76  train_loss: 23.527217864990234\n",
      "epoch: 77  train_loss: 23.512239456176758\n",
      "epoch: 78  train_loss: 23.502038955688477\n",
      "epoch: 79  train_loss: 23.493581771850586\n",
      "epoch: 80  train_loss: 23.482006072998047\n",
      "epoch: 81  train_loss: 23.465456008911133\n",
      "epoch: 82  train_loss: 23.451026916503906\n",
      "epoch: 83  train_loss: 23.438899993896484\n",
      "epoch: 84  train_loss: 23.424842834472656\n",
      "epoch: 85  train_loss: 23.409221649169922\n",
      "epoch: 86  train_loss: 23.395565032958984\n",
      "epoch: 87  train_loss: 23.38283920288086\n",
      "epoch: 88  train_loss: 23.368181228637695\n",
      "epoch: 89  train_loss: 23.356088638305664\n",
      "epoch: 90  train_loss: 23.34182357788086\n",
      "epoch: 91  train_loss: 23.328996658325195\n",
      "epoch: 92  train_loss: 23.312225341796875\n",
      "epoch: 93  train_loss: 23.30038833618164\n",
      "epoch: 94  train_loss: 23.284360885620117\n",
      "epoch: 95  train_loss: 23.2689208984375\n",
      "epoch: 96  train_loss: 23.258041381835938\n",
      "epoch: 97  train_loss: 23.2430477142334\n",
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      "epoch: 100  train_loss: 23.206249237060547\n",
      "epoch: 101  train_loss: 23.190378189086914\n",
      "epoch: 102  train_loss: 23.177555084228516\n",
      "epoch: 103  train_loss: 23.164344787597656\n",
      "epoch: 104  train_loss: 23.150461196899414\n",
      "epoch: 105  train_loss: 23.136688232421875\n",
      "epoch: 106  train_loss: 23.123233795166016\n",
      "epoch: 107  train_loss: 23.110980987548828\n",
      "epoch: 108  train_loss: 23.10093116760254\n",
      "epoch: 109  train_loss: 23.086246490478516\n",
      "epoch: 110  train_loss: 23.075946807861328\n",
      "epoch: 111  train_loss: 23.06570816040039\n",
      "epoch: 112  train_loss: 23.054006576538086\n",
      "epoch: 113  train_loss: 23.044002532958984\n",
      "epoch: 114  train_loss: 23.034624099731445\n",
      "epoch: 115  train_loss: 23.02423095703125\n",
      "epoch: 116  train_loss: 23.01297378540039\n",
      "epoch: 117  train_loss: 23.000041961669922\n",
      "epoch: 118  train_loss: 22.991003036499023\n",
      "epoch: 119  train_loss: 22.977569580078125\n",
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      "epoch: 122  train_loss: 22.95269012451172\n",
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      "epoch: 124  train_loss: 22.936330795288086\n",
      "epoch: 125  train_loss: 22.91233253479004\n",
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      "epoch: 131  train_loss: 22.855430603027344\n",
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      "epoch: 161  train_loss: 22.634769439697266\n",
      "epoch: 162  train_loss: 22.63046646118164\n",
      "epoch: 163  train_loss: 22.62076759338379\n",
      "epoch: 164  train_loss: 22.617334365844727\n",
      "epoch: 165  train_loss: 22.605358123779297\n",
      "epoch: 166  train_loss: 22.606380462646484\n",
      "epoch: 167  train_loss: 22.58904457092285\n",
      "epoch: 168  train_loss: 22.598384857177734\n",
      "epoch: 169  train_loss: 22.573150634765625\n",
      "epoch: 170  train_loss: 22.59214210510254\n",
      "epoch: 171  train_loss: 22.556825637817383\n",
      "epoch: 172  train_loss: 22.586963653564453\n",
      "epoch: 173  train_loss: 22.540943145751953\n",
      "epoch: 174  train_loss: 22.58208656311035\n",
      "epoch: 175  train_loss: 22.531633377075195\n",
      "epoch: 176  train_loss: 22.5677547454834\n",
      "epoch: 177  train_loss: 22.52133560180664\n",
      "epoch: 178  train_loss: 22.556926727294922\n",
      "epoch: 179  train_loss: 22.508575439453125\n",
      "epoch: 180  train_loss: 22.542312622070312\n",
      "epoch: 181  train_loss: 22.496997833251953\n",
      "epoch: 182  train_loss: 22.527936935424805\n",
      "epoch: 183  train_loss: 22.485347747802734\n",
      "epoch: 184  train_loss: 22.513662338256836\n",
      "epoch: 185  train_loss: 22.474376678466797\n",
      "epoch: 186  train_loss: 22.502479553222656\n",
      "epoch: 187  train_loss: 22.461973190307617\n",
      "epoch: 188  train_loss: 22.492712020874023\n",
      "epoch: 189  train_loss: 22.4491024017334\n",
      "epoch: 190  train_loss: 22.481582641601562\n",
      "epoch: 191  train_loss: 22.4395751953125\n",
      "epoch: 192  train_loss: 22.46535873413086\n",
      "epoch: 193  train_loss: 22.430206298828125\n",
      "epoch: 194  train_loss: 22.44394302368164\n",
      "epoch: 195  train_loss: 22.424116134643555\n",
      "epoch: 196  train_loss: 22.419208526611328\n",
      "epoch: 197  train_loss: 22.40463638305664\n",
      "epoch: 198  train_loss: 22.414884567260742\n",
      "epoch: 199  train_loss: 22.39019775390625\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Train control policy\n",
    "best_model = trainer.train()\n",
    "# load best trained model\n",
    "trainer.model.load_state_dict(best_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate best model on a closed loop system rollout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "nsteps_test = 2000\n",
    "\n",
    "# generate reference\n",
    "np_refs = psl.signals.step(nsteps_test+1, 1, min=18., max=22., randsteps=5)\n",
    "ymin_val = torch.tensor(np_refs, dtype=torch.float32).reshape(1, nsteps_test+1, 1)\n",
    "ymax_val = ymin_val+2.0\n",
    "# generate disturbance signal\n",
    "torch_dist = torch.tensor(sys.get_D(nsteps_test+1)).unsqueeze(0)\n",
    "# initial data for closed loop simulation\n",
    "x0 = torch.tensor(sys.get_x0()).reshape(1, 1, nx)\n",
    "data = {'x': x0,\n",
    "        'y': x0[:, :, [-1]],\n",
    "        'ymin': ymin_val,\n",
    "        'ymax': ymax_val,\n",
    "        'd': torch_dist}\n",
    "cl_system.nsteps = nsteps_test\n",
    "# perform closed-loop simulation\n",
    "trajectories = cl_system(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x29d00243310>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nYwwP9NH/DbtQY3q2cHBEqA+4pjgAAAAAAIBzUBRHnbFnpPj5fLw8NPGyVrqxZwt9vilB78Ue1OlM2xGNO46e0V/eWKthF0Xp7gHtdFHz0NoKGQBcXqEdFZfNh9N0x2dblJZToCvaRWr6Xy6o8JIXeeYi/fJnsvafzNSpjHz9frx4FLi9RcDyeJikdo2D1LVFqLrHhKl7TJg6NQuRj5dHjfp1N4G+nkrOcvz9BPt6KcTfW83D/BUTHqDmjfwV9b/Cd7MQP0WF+inU39vuQvS43sX/Goahkxn52pOUri1H0rT1cJq2HzujgsKqTeOfnFWgZTuStGxHkqTia223jgjUJa3CdEnLRrowKkTtGgc57f1T2UjxB/5ygW7q1UJRof4V5hvcy/k/EmX6dAAAAAAAgLpBURx1pibXv/Tz9tSUK9tofJ+WmrfhiGauPqCMvLP/2WwY0re7juvbXcc1/OIoPXFNJ8WEB9RG2ADg0ix2Ts37496TkooL5EfTcnQkJUfJWfma0Kelmob4atHmozqamqtgPy8dTc1RdkHNRir7eHnowmbB6hwdqi7RIeoSHaJOzUK4HIYdAqt4XXGpeMr5kh+VDesapa7NQ/X7iQx5mEy6rG2E2kQG6ER6vjw9TGodGaBW4YEOey1MJpN1VPlfLiyeIjy/sEi7E9P134QzSjyTq9OZ+TqWlqvfj2co385ieU5BkfYez9De4xmatyFBkuTtaVKHpsHq2jxU7ZsEqchiyFxkkbenh0L9veXt6SFPD5O8PE3y9fKUr5eHIoJ81L5JkHy9avb4s/MrzpHoMD+1aMRnlYam1DXFmT4dAAAAAACgTlAUR52pjVFQft6emnZVW/Xr0Fh//WyLjqSUvv7pip3H9eOek7qtb2vdO7C9Qvy8a3y/AOCq7Bkpfr4l2xKtf//zu301jiHYz+t/he9Q67/tGgfKy5MR4NUR6Ft5sbZnq0ZqHOSrwynZGnNJC/21X1ulZhcowMezXl6X2tfLUz1bhatnq3Cb9YVFFsUnZ2v/yUztO56pXYnp2nHsjN3T8puLDOv17KvCy8OkC5oGq32TIMU08lfbxkFq3yTo/9m77/im6v1/4K+TnbTpbumkUMpWEARERYaKDBfoFVzoVfl6vV71qlevetV7vY7ruper+FOvgwvXDSqgDBEEWaJsWWVDaWlLd5uk2cn5/ZE2NE1SOjKa9PXkkUdy1ud8Svs+I+/z+XzQK1kDrUrepmuac7UUz0/jsC/dUcuekzimOBERERERERFRaDApTiHTke7T/enXQ4vlD47B2z8exye/nPLqstfqcOK9DSfw5Y7TeOTKvrhlVE8mXyigTFYH5FKBf1fU5Tmc7euSurNStUqcn3W29ffgzHhkJ3bvMcADLUZ57su3l6afhwHpcR7zkmIUwapS0MikEvTtoUXfHlpcM8Q1TxRFnKo2YuPRSnz7ayn2nK6DzRHYxKLdKeJgmQ4Hy3wn0zPiVRjRKwlj+6Zg8nnp0Pp4AK/B6j8p3ic1BsNyEgNWX4ocLY+FzIkTEREREREREYUGk+IUMpIA5w61KjmenDIAvx/fB5/8cgrvbTju0aU6ANQ0WPHsNwfwv59P4empAzFhQFpgK0FRxe5woqbBigq9BZWNrwq92fXZYEGFzvVeqbfAaHVAIgCjeidhaE4CqvRWGK129EzWIDtBDaVMCrnM1R1vgkaO4T0Tu2TrTIp+jiCNVysIwPCeieiVHIPsRDXOz4rH+dnx6BGnCsr+6KxzdZ8+Jj/FKyEeTQRBQK+UGPRKicEdF/eCwynijM6MU9UN2Hu6HjtP1aKgVIeSOlPQ6lBWb8ayPaVYtqcUTy7eh94pMchPjcWo3km47oJMpMQqvR7YG5CuxbVDM2G02vHbS3p3algZilwtn6UL1jGaiIiIiIiIiIg8MSlOISMLdFa8Ubxajj9MyMeto3pi7rqj+PjnU17dBR+rMOCuBdsxY0Q2Xph2XqfHCaXI4XCKqGmwospgcb8q9RZUGayo0p9NclcZrKhpsKA93007ReCXEzX45UTNOdeNV8tx5yW9kJ2ohtXuRM8kDYbnJiK2DS0+iTojUAmXNK0St12Ui1StEokaOUb0SkKqVhmQsql9fP2/p8QqccWANMRr5Pjd2Lww1Cp8pBIBWQlqZCWocUmfFPf8epMNBaU67C+px76SelQZLJBLJZBLJbDYHdCZ7bA7nHA4RTicIsx2B0xWJ6oMlnbt3+EUcazCgGMVBqw6cAavfHcIg7PisLuozmO9VK0Sf5iQH4gfmSKYpEVLcY4pTkREREREREQUGszGUMgEu0FUYowCf7t2MO64uBde+e4gvj9Q7rXOoh2nse1kDe6fkI9pF2RBIWPX112BKIqwOpwwWhww2hwwWe0wWh0wWh0wWR1oaJw2uefZ0dDss9HqgMnmQIPl7Ofm23aF75vrTTbMXXvUY55UIiA7UY2UWCX6pMZgcGY8huYkYGh2PLuapoDpTFL879cNRka8CnKpBJfkJ/OBoi7ivKx4r3kX5SXh1d8MCUNtuq54tRwX90nGxX2S27Wd3uxKph86o0dxjRGF1UYcrzTgVHVDmx6csjqcXglx4Nwt/Kl7aNlDgJMtxYmIiIiIiIiIQoLfzlFISATvMRSDpXdKDN6bNQK/nKjGiysKsL/EczzQwmoj/vzVXsxdexRPTB6Aa4ZkBL1uTeOfKuUSZMSrg7qvcHA6RdSbbKgxWlHbYEW9yQaDxQ6d2Q692QZ947vBbG/8bIeucb7B4np1x+5DHU7X38WpaiN2nqoFcBoAMKxnAmaPyUOPOCVyk2PYGpc6pb2xdfX5GdhbUofrh2bhjotz+YBGF3RBjndS3O4I7djx0UyrkuOivGRclOeZTLfYHag2WFFrtGLf6XqsKSjHxqOVbR7PvC1jwVP0a/mQaDe8/CEiIiIiIiIiCgt+O0chIQ3DuJmj85Lx7R/G4Ktdp/G3bw7AZHN4LD9da8KDn+/Gf386iWevGYThPRODUg9RFPHsN/vxyS9FkAjA368/D7NG5wZlX4FkdzhRabCgrN6MM/VmlNWbUWWwoLbBipoGV1LA9W5DndEaVV/qSgRXV8SpWiXStK5312eV+3O8Wo7VB85gTUE59GY7BmXGIT1OhVM1RtQZrbA6RFjtTtQZrSirN7dr/7uL6vCHz3a5pwdmxGFs3xRc1jcVI3snsrUutUvL4SRaM2lwD7x92/Ag1oYCIS8l1mtevckWhpp0L0qZFJkJamQmqDE4Mx43j+oJo9WOg2U6HK9owJbjVVixr8xvknxQZvSO805tJ23xoJGjK3RnQ0RERERERETUDTApTiHRcvzEkO1XImDGiBwMyY7Hk1/vw6/FdV7r7C6qww3vbMG1QzPx50n9kZOkCWgddhfX4ZNfigC4WgO9svIgZozIDmti02p3okJ/NtntfteZUFrnmq7Qm6Mq0Q0ASTEKpMQqkKpVIiVW6U58uz4r3EnvpBhFmx7k6NdDiwcu73vO9XaeqsE7Px7HvpJ6KOUSaJVyHCnXtzlZebBMh4NlOry38QTUciku6ZOM8f1TMXFQOtLjVW0qg7qv9rQUv3F4dhBrQoEikQgY1jPBo4vumy7MCV+FujGNQoYLc5NwYW4SZozMwd+vPw+7TtWiqMaIk1UN2HS0EmX1ZlzSJxk3jWB8kXfPSSKT4kREREREREREIcGkOIVEOFqKNzcgPQ5L7r8E6w9X4u0fj2HHqVqvdZbtKcWq/WW4fXQuHry8L5JiFAHZ9/+2FHpMN1gd2HmqFpf0SQlI+S1Z7A6U11tQVm9CmTvpbWpMep9t8d3Vv4NVSCVQK6TQuF8yr2mNQuqaJ3d91ihdy9RN043rJccqkBSjgFwanjHkL8xNwrzfJnnMM1rtOFCqQ6XegtI6EwpKddhwpBLVDdZWyzLZHFh7qAJrD1XgpZUH8c+bhuKaIZnBrD5FuLYmxTPiVRjfPy3ItaFAeXxSf/x2/nZY7U70TonBVYN7hLtKBNc45hMGMI7Iv5bXxN1x+BgiIiIiIiIionBgUpxComVXkeEgCAImDEjD+P6pWF1QjpdXHkRhtdFjHZtDxPyfCvHVjtP43bg83D2mNzSKjoeJzeHE6gPlXvPXHaxAcowSGQkqxKnk7SrT7nCirN6M4lojTteYUFxrRHGNEcW1JhTXGFGht3S4voEQo5AiQaNArFIGrarpJUds4+c4lbzZMjm0KhlilbKziW6lFBq5FLIwJbBDRaOQYWQvz0S52ebAp1uLsHR3CcrqzdCbbbDY/Y8TbLY5MWfNESbFqVXn6po3J0kNrVKOf9xwPhSy6I67aHJJnxT8+Nh4FFY14IKcBI5XTRQhOKY4EREREREREVF48BtUCglJmFuKNycIAiYNTseE/mn4+JdTmLv2qNdYrHqLHf9cfQQf/XwKD1/ZDzNGZHcoSVuuM3uNZQ4AH24+iQ83n4QgwDVOdG4i7E4RggAoZBKYrA7ozXboTDbozHbozDboTDbozXac0ZlD2qpIIZUgPV6F9HgV0rRKJMcokBjjanmdqDn7nhyrQIJGzvGuO0Ell+KeMb1xz5jeAFwPVfxaXIdNRyqx4WgV9p6u82rhf6raCFEUvbpjJWrS2vFCo5Bi058vD2FtKJCyEtTISlCHuxpE1A4tr4mdzIoTEREREREREYUEk+IUEuHuPt0XhUyCe8b0xo3Ds/D/1h3DRz+fgtXh2Sq3Qm/BX5bswwebTuDBy/Nx3dDMdiXHqw2td4UtisDGI5XYeKSyQz9DZ6nkEmTEq5Eep0JGY+I7I17lmtf4OSlGwYRrmMilEozslYSRvZLw6FX9UdNgxYq9pXj2mwPudRxOEUarg61Eya/WkuKx/LshIgopSYtrKmdXH8+GiIiIiIiIiChK8NtwComWXwB2JQkaBZ65ZhDuvKQX/r3mCJb8WuLVGvdkVQMeXbQH/2/dMTx4RT6uG5rVpkR/lSF8XZnHKKTISFC7kt3upLfaI/kdr5Yz4R1BkmIUuHZopkdSHAD0ZjuT4uQXk+JERF1HyyGFHMyJExERERERERGFBL8Np5CIhOGhc5I0mDPzAsy+LA+vrDrks/X2iaoGPLJwD95adwx/vKIvrhmS2Wpy/FwtxTsjRiFFTpIG2Yka5CSpkZOoaZxWIytR3e6xyiky+Epi6sw2pMerwlAbigT2VpLifJiCiCi0vMYUZ/fpREREREREREQhwW/DKSRatorpygZlxuGju0fhp2NVeG3VIew5Xe+1zonKBvzxi1/xz9WHMXNEDm4akYMecd5JyUo/LcVTtUrcN64PYhRSbC+sRb3JCrlUAlEErA4n1HIptCoZ4tRyxKlk0KrkiFPLEKeSIyVWiZwkDRI1bOXdHcmkEmgUUhitZ8eq15ttYawRdXWtJVzYUpyIKLS8xhRn9+lERERERERERCHBb8MpJFp+ARgJLs1PwdI/XIp1hyrwxg9Hsa/EOzleXGPCP1cfwb9/OIrLB6ThllE5GNcvzd16vGVL8RuHZ+Ov1wyCViVz/5/cPKpn8H8YiipalcwjKa4z28NYG+rqWmsprpRHQDceRERRxKv7dLYUJyIiIiIiIiIKCSbFKSRkEZgUBwBBEHDFwB64fEAa1h6swL9/OIIDpTqv9RxOEWsKyrGmoBwZ8SrcNCIHM0fmeI0pnhKrQLyG3ZpT52hVcpTrzv5t6c122B1OyCJhnAIKudZaipuaPVxBRETB591SPEwVISIiIiIiIiLqZpgUp5CIxJbizQmCgCsH9cAVA9OwpqAcb6496jM5DgBl9WbMXXsUb607CpVM6rEsJVYZiupSlNOqPA/dD32+G4/JJLhqUA+8fsPgMNWKuqrWWoqbbEyKExGFkkRg9+lEREREREREROHApDiFRCSNKd4aQRBw1eB0TBzUA7uL6/DFtiIs21PmM7Ekit4JpxStIlRVpSimVXn3NmC1O7F8bxmG58QjOQx1oq7L0UrCxciW4kREIdXyOVEmxYmIiIiIiIiIQoN97VJISCO8pXhLgiBgeM9EvPabodj29BV4afp5OD8r/pzbJcewpTh1XsuW4s29sfZYCGtCkaC18Wo5li0RUWi1vCbmcZiIiIiIiIiIKDTYUpxComVXkdFEq5LjtotycdtFudhfUo8vthfhm92l0FvsXuv2TokJQw0p2sS1khTXme3Q20JYGerSRFFsNeHy6MR+IawNEREJLa6J2VCciIiIiIiIiCg02FKcQiLaWor7c15WPF6cdj62Pn0FXv/NEFyYm+hedvvonshJ0oSxdhQtfHWf3twzO2SY9OZmvLSiAAYfD2dQ99FaA8RRvZJw5cAeoasMERFB2uKSmC3FiYiIiIiIiIhCgy3FKSQk3SQp3kSjkOGmETm4aUQOynVmmG0O5CazlTgFRmstxZucqDLixKaT2HCkEu/cNhy9U2K7zcMpdJbd6fSat/KhyxCvkSM9TsW/CSKiEGt5TcwxxYmIiIiIiIiIQoNJcQqJlq1iupMecapwV4GizLlaijd3pNyAK+dsRLxajhuHZ+PRq/ohVslDf3fhIycOrUqGrAR16CtDREReQwoxKU5EREREREREFBrMjFBIsDUiUeBo29BSvKV6kw3//ekklu8txdVDMnBZ3xRc1jcVcilH0YhmvlqK83hMRBQ+3knxMFWEiIiIiIiIiKibYVKcQqLlF4BE1HHpneh9oEJvwfyfCjH/p0KkaZW4eVRP3DIqBxnxbDkcjXyNVcukOBFR+LR8Fo1jihMRERERERERhQabCFJIMAlDFDhDchJ8zr/6/AyM75eCG3o5sPLBS3DFgDTIWxm7oEJvwdy1RzHm1R9x70c7sOloJZz8cj6qMClORNS1CC0eFBXZfToRERERERERUUiwpTiFBJMwRIHjb0zwt28bDpvNhpUrV6JvWizm/XYkzDYHjlca8Oqqw9h4pNLndg6niNUF5VhdUI5eyRrcPjoXv7kwGwkaRTB/DAoBn0lx9txBRBQ2LY/BDibFiYiIiIiIiIhCgi3FKSTYfTpRYF3SJ9lj2l+LcJVcisGZ8fjo7lFY/uAY/GliPwzrmeC33MJqI15ccRAX/WMtHln4K345Uc1WbBHMV7JF2krvAUREFFySFndfTmd46kFERERERERE1N2wpTiFBFuKEwXWoxP7Ycvxn93T943rc85tzsuKx3lZ8Xjwir44WKbDJ7+cwpLdJTBaHV7rWuxOLNldgiW7S9A7JQYzR+bgNxdmIyVWGdCfg4LL7vBOist4PCYiCpuWD4o6+eAZEREREREREVFIsKU4hQST4kSBNaJXEv4x/XyMyE3EnRfntikp3tzAjDi8NP18bP3LFXjh+sHo1yPW77onqxrwyneHcPHLa/GHT3dh89Eqjj0eIXwlW9hzBxFR+DApTkREREREREQUHmwpTiHBMWyJAu/Wi3ri1ot6dqoMrUqOWRf3wu2jc7G9sBYf/3IKq/aXweajhbHNIWLFvjKs2FeGnkka3DwqB9cNzURWghoCY7xLsvt4eIEtxYmIwqflg6IOPmRGRERERERERBQSTIpTSLClOFHXJggCRvVOwqjeSag2DMLiXSX4YnsRjlc2+Fy/qMaI11YdxmurDiMlVoGrBqfjjotzMSA9LsQ1p9b4SrbweExEFD4tD8FsKE5EREREREREFBpMilNISJiEIYoYybFK/N/YPMy+rDd2nKrFF9uKsXxvKSx2p8/1qwxWfLa1CJ9tLcIFOQm4+vwMTDk/HdmJmhDXnFpqmRSXCGCrfiKiMGrZfbqDWXEiIqKoJooiLHYn9GY7DBY7DGY79BYbDE3TFjvMNgfsThEOhwibU4TD6YTdKcLuEOEURUgEAVKJAEFwXUtIBEAqkSBWKUWcSg6tSg6tSoY4tetdq5IhTiWHSi4N949PRERE1KUwKU4hIWUOhijiCIKAkb2SMLJXEv56zSAs/bUEn20twuFyvd9tfi2uw6/FdXhp5UEMzUnA1eenY8p5GchJYoI8HFomxWUSSZhqQkREgI+kOLtPJyIi6vJEUYTObEdJrQnlejOMFgdMNgcMZhtqjTbUGa2oM9lciW+zHXqLHYZmiW9fw5OFgkIqQbxGjswENbIT1MhKVCMrQY3sRNfn7EQNYpX8apiIiIi6D175UEiwpThRZIvXyHHnJb1wx8W52F1ch8+3FuG7/WdgsNj9brOnuA57iuvwj5WHMCQ7HhfmJmJ8/zRclp/CY0KIeLUUZ06ciCisWg5hwYbiREREXUO90YbC6gacqjGiuMaIkjoTSt0vc6v3vl2V1eFEpd6CSr0Fe4rrfK6TqJEjJ0mDnEQNspPU6KFVIUEjR4JGjtRYFXrEKZEcq+QwXERERBQVmBSnkJCyu16iqCAIAob3TMTwnol49cYhOFVjxJLdJfhs6ylUGax+t9t7uh57T9dj/k+FyE+LxW0X9cT1F2QhKUYRwtp3P3a2FCci6lJaXhKzpTgREVHo1DRYcbzSgMKqBhTVGFFYbURRdQMKq42oN9nCXb2wqDXaUGt03a/7IxGAlFglesSpkKZVIi3OlSzPTdYgP1WLvNQYxLDFOREREUUAXrFQSPCJUqLoI5EI6J0Sg0cn9sODl+fjp2NVWLmvDKsLylFn9P+FwrEKA/6+rAD/WHkQVwzogRkjszG2bypkUiZsA83XmOJERBQ+La+JnWwqTkREFFCiKKJSb8HRCgOOlutd7xUGHKswoKbB/4PcoSKXCtCq5IhVylwvlQwquRRyiQCZVIBMIoHU/VmARBDgFEU4RcDpdI0x7hABu8MJg8UOXWO37TqzHXqzDRa7M+B1dopAhd6CCr3F7zoZ8Srkp8WiT2os+qTGoE9qLPLTYpGqVUJgQxkiIiLqIpgUp5BgV8lE0U0ulWB8/zSM75+GlxxObDlejZV7y/B9wRm/CXKbQ8SqA2ew6sAZpGmVuPHCbNx0YTbyUmNDXPvo5TWmOB88ICIKq5ZjijMpTkRE1HF6sw2HzuhxoKQeB8v0OFrhSoLrzcHp6lxobDEdp5JBo5BBrZAiUSNHokaBBI0CcWoZtCo5tM0S3rFKGbSqs9NKmTQodWtisTugN9tdiXKTDdUNFpTUmnC61oTTdSb35yqD/wR3R5TVm1FWb8amo1Ue87VKGfLSXInys0nzWOQmayDn/SkRERGFGJPiFBLsPp2o+5BLJRjXLxXj+qXiRcd5+Pl4NX45UY3VBeU4VmHwuU2F3oJ31x/Hu+uPY0RuIq67IBOTBqejR5wqxLWPTDaHE2fqzSiuNaKk1oSSxi87DpfrPdZjrx1EROHlnRQPU0WIiIgiiCiKqNBbcKC0HgWlOhSU6XCgVIdT1caA7kcqEZCVoEZusgbZiWpkxquRmeB6ZSWokR6vgkLWtRO5SpkUylgpUmKVra5ntjlwutaE4lojTtcYXUnzWhOqGyyoM9pQa7SiymDt9FAveosde4rrvMY0lzX2PNcvXYv+PbTo10OL/ula9EzS8L6ViIiIgoZJcQoJXtASdU9yqQRj+6VibL9UPD6pP346Vo1FO4rx/YEzfrt123GqFjtO1eJv3x7A8J6JmHJeOq4Zkon0eCbInU4RhdUN2FdSj32n67G/tB6nqo0o15nblFjhA0pEROHV8pKYY4oTERF5cjhFnKwy4EBj8rug1PWqDlDX5wqpBD2TNeiVrEHPpBj0StGgZ5IGvZJjkJWo7jatl1VyKfLTXF2c++NwiqhusKBCZ0GF3owKnQXlOgvK9WaU1plworIBxbVGdKTjG7tTdHdtvwJlzeolQd+0piR5rDtZnh6nYjfsRERE1GlMilNItGwVQ0TdjyAIGNM3BWP6pqDeZMOyPaX4cudpryfGm4gisPNULXaeqsVLKw9iZK8kXDskA1POzzjnU+9djcXuwK9FdejbQ4ukGEWbthFFEUU1Ruw9XX82CV5SD72l410B8sECIqLw4pjiREREZ5msDhw6c7bld0GpDofO6GC2dX5cbHVj0rdvWiz6NL737aFFTqKaw0q1kVQiIE2rQppWBSDe5zpmmwMnqxpwvNKA4xWu92MVBpyoMnTo92i2OV33vyX1HvO1KpmrRXm6FgPStchPjUXv1Bgmy4mIiKhdmBSnkOD9BhE1F6+W4/bRubh9dC6OlOvx5Y5iLN5V4vfpf1EEtp2swbaTNfjbtwdwaX4Krh2aiesvyAz6mGydVWe04pq3NuN0rQmxShk++7+LMCQ7wWMdi92Bo+UGnK414XilAbtO1WJ3cR1qAtQaAgBilTL86ap+ASuPiIjar+WXtk62FCciom6i3mRzd39+oFSH/SX1OF5p6PRQIjKJgPy0WAzKjMOAdC36pmmRnxaLrAQ1JOy1MOhUcikGZsRhYEacx3ynU0RpvQnHKxtwrMLQmDR3vVcZ2n+fqzfb3b3KNaeWS9E7JQa9U2OQlxKD3ikxyEuNRW6SBgkaORPmRERE5IFJcQoJ3ogQkT/9emjx9NWD8OfJA/DjoQqs3FeGtQcr/LaIdorApqNV2HS0Cu9vPIEnJw/AuP6pXbabu/c2nsDpWhMAwGCx49FFe3D3pb2x9WQ1ztSbUW+y4XilATZH5xMjsUoZshLUyEp0jXmXnXj284D0OKgVXfsBAiKiaOfdUjxMFSEiIgqiCp3Znfg+UKrDgbJ6FNeYOl1urFKGgRlaDM6Mx6CMOAzKjEN+WixUct7ndDUSiYDsRA2yEzUY1y/VY1md0YpjFQYcKTfgSLkeh8/ocbhc36GHwk02h6ub/TKd17IYhRTZiRrkJLnuidPiVOgRp0KPOKXrXatCnFrGxDkREVE3wqQ4hYSMSXEiOge5VIKrBqfjqsHpsNgd2HKsGiv2leH7A2egN/tOkB+rMGD2RzuQqJHjqkHpuGZoBi7pk+KVdAgXh1PEJz+f8ph3rMKAvyzZ16lyU7VKDMmKx/nZ8RiQHoecJDWyEzS8oSci6uK8xhRn9+lERBTBmoZ8OlCqw4HSeuwvcbUCrzJYOl12epwKgzLj3MnvwZlxyEnUsNFFFEjQKDCiVxJG9ErymF9lsOBIY4L8SLkeh87oceSMHg1WR4f202B14HC5qzx/lDIJ0uKU6KF1JczTmhLmcUqkaVVIj1chWc2HLoiIiKIFk+IUElImaYioHZQyKSYMSMOEAWl4afp52HikCsv2lGJNQTlMNu8b4lqjDQt3FGPhjmL0iFPi+guyMH1YllcXbqG29WR1p8YAB4DkGAXOz45vTIIn4PysePSIUzL5TUQUgSQtjt0ik+JERBQhDBa7q0XvGT0On9Hh4Bk9Dpbp/D7A3FYSAchLjcXgZgnwgRlxSIlVBqjmFClSYpVIyVfikvwU9zxRFFFSZ2psUe5qWX6kXI+TVQ0wdjBZ3pzF7kRxjemcPRmopVL8v+M/ISNBg/Q4JdLj1ciIVyFRo0CCRu56qV2f2XNBx9gdTtSZbKgzWpESq0SCRhHuKhERwWJ3oEJnQYXejEq9BXFqOc7PiofBYseZejOqDFYYLDYYLA4YzHY0WOwwWOwwWu1QyqQ4LysOaVoVDBY7pBLBfe6QSQUopBLIpBJX4y4RMNrscDhFyCSueTKJAKnU9S4RGqclAr8T7iQmxSkk+CQvEXWUUibFxEE9MHFQDxitdqw7VIH/bDiO/SXe3aMBQLnOgvc3nsD7G09gQLoWNw7PxvXDMpGmVYW45sChMv9PpLckCEBGnApZiWoMzozHsJ4JGN4zEdmJal7sEBFFiZZJcQf7Tycioi7GYnfgVLXR3a31wTI9DpfrAtL9uUIqQf90LQY3tvwenBWPgRzmiVohCGe7Yb98QA/3fFEUUa6z4ESVASerGnCisgEnq1yvohpjwK+xTA4BRysacLSi4ZzrKmQSJKjPJsrjNXLEq+VIUMsRp5YjRilDjEKKGKUMsUoZNI2fXS8pYhSueZH6PYAoijBY7NCZ7ag32lDfmOiuNdpQa7SitsGKGqMVdUYbahqsqDNaUdNgha7FAzaPT+qPP0zID9NPQUTRShRF6Mx21DUeh2qbvVcZLCjXWVCuM7sT4bVGW7ir7KFHnBLPXjMI1wzJDHdVIhaT4hQSbClORIGgUchwzZBMTB6cjsW7S/DJL6ew93S93/UPndHjpZUH8cqqQ7hiQBp+P74PLshJCNnNZWmd/y+OBmbE4YZhWUiMUSArQY3zsuKgVclDUi8iIgoPjilORERdgdMpokxnxsnKBpyoMuBEZQNOVDXgZJUBJbWmgJyfYhTSxm7P4xuT4PHo2yMWcqmk84VTtycIAtLjXd2bX9InxWOZzeHEmXozimuNOF1rwukaI8rqzSjXW1ChM6NCb+nQ+OVtZbU7UaG3oELf8WEEBAFQyaRQyiXud6VMApVc6vGudC+TQiWXQCGTQCYRIJM0vkub3gX3tFQiQC4VIG1cBwCcoghRdL03n3Y4RVjsTphtDphtDphsDphtTte71TWtM9ugM9mhM7sS4DqTLSDHkDd/OIo7L+mFWCXTF0Tkm8XuQJ3R1iy5ffYBnDqjDbUNrmnXfNe8OpMtoh9OL9dZ8OTX+3DFgB58qLCDeFahkGBLcSIKJJlUghkjcjBjRA6Ka4xYtf8MvtlT4rf1uMMpYnVBOVYXlCM7UY2Jg3rgyoE9MKp3UlC/lClpkRQfkK7F5PPSMSQ7HuP7pfHYSETUzfg67DudIs8HREQUcFa7EyV1JhTXGFFca0RxjQlFNa4WtYXVDTDbnAHbV1KMwp34bmoF3is5huc3Cgu5VIKcJA1ykjR+17HYHajUu1oEVujMrlaBTdN61/SZerNX6+VQEUXA1JiEBrpWK8VQsTqcOFNvQn6aNtxVIaIgczpF6M121JmaJ7WtqG2weSe6m70HYhiNSGSw2HG0Qo8h2QnhrkpEYlKcQqJlqxgiokDJSdLg/8bm4f/G5uFouR6Ld5dg6e4SlNWbfa5/utaE+T8VYv5PhdAqZRjbPxVXDkzD+H5pSIwJ7JhVLZPit4/Oxe2jcwO6DyIiihy+kgNOUYQEvFYmIqL2qzNacaKqAYWNXUYX15hcrWNrjCjTmSEGuCGUVCKgd0oM+qdrMTBdi/7pcTgvKw7pcaqI7eqZuielTOrulr01Rqsdp6sN+HbNRuQOHIoKgw3lOjPK6s2o0Jkbx8C2QWe2BTzeCGF7KIGIOk8URegtdlTqLahs7D2jsvnLcPZzrdHa5VtvK2USxCplqG7W04hCKkGqVok4tRyxSiliG4fC0KpkUMtlKK0z4eAZHax2J2KUMljsDpTVmWEPwM96sqqBSfEOYlKcQoLdpxNRKPTtocUTkwfg8av645eT1fh6Zwm+21/m98lBvcWOFXvLsGJvGSQCMCI3CVcMTMOEAWnonRLT6VbkLbtPz0pUd6o8IiKKbC3HFAcAhyjypoyIiPwyWu04WdWAY2d0WH1awPqv96GwxoSTVQ2oC+I4l2lapSv5nRGH/j206J+uRX5aLFRydtVJ3YdGIUPvlBj0jRcx9YJMyOW+hzxzOEXozTZ317x1RivqTU3jaTe9rNBb7Giw2NFgdaDBYofRYoehcbqrJ4Q6QhCAOJUciRo5EjQKJMUokKCRI0mjQGKMAokaBRI1cvfn2z78BVWGswknPZPiRF2O2eZAlcF3crvltMUeuF5pgkEhlSBBI0eipvHYFKNAjzgV0uKU6KFVeXyOU8sgCAIaLHZUG6yIUUqRFKNo90OBTqcIm9MJm0OEze6EzemEs/G/SS2XQioV4HCKHi+704nHv9yLn09Uu8s5UdkQyP+KboXfv1BIsMssIgoliUTAJX1ScEmfFPz9+sH435ZCfLmjGIXVRr/bOEVgW2ENthXW4OXvDkEiABnxamQlqpGTqEFWohqpsQokaBTQqmSQSgRIBdeYXEqZBHKpBHanE2abExa76wKx+c0cAGQlMClORNSd+XpQlK2KiIi6N6dTRLnejNO1jV2dN7b2Lq4x4lS1EWd0zXvAkgLFZQHbd4xCirzUWPROiUFeaozrPSUWvVNjOI4vUTtIJQISNK7vCzpCFF1jdzdY7DBaHTBY7DDbHO7xvC12p+fnlssax/q2OpywO0U4GhMuDqcIm8PZmFQRYW/83LTM7nRCEAQIcD28KQg4Oy0BBAhQyiRQK6RQyqRQK6RQNU6r5K5XnEqGOJUccWo54tQyxKvliFPJEa+RI1Yha9d3wnFqeYukePfsOp4o1BxOETUN1laS3Gb3dFftwSFOJUNijOs4nKiRI0Etb/ysQGKM3D2/KQGeqFFAo5C2O6kd09gavKMkEgFKiRRKGQBl27cbkKH1SIqfrGJSvKN4hUshIWVOnIjCJFYpwx8m5OP+8X1wsEyPNQXlWHuoHHtP17e6nVN0dX9eUmfCtpM1AalLJpPiRETdmsRHByTR2CqIiIhcPtx0Ap9vK0J2ogaXD3AN13S61uhOgJ+uNaGk1gSrI3gtqeLVcuQkuR70zUnSoHdKU/I7BqlaJbs9J+oCBEFwJ5mTw12ZMNK2SDSxpThRxzmdIupMNlejnebJboMFVXpr47trutpgQVe5LVXIJF7J6wTN2aS2O9HdbF68Wg5ZJ3v77OryUmI8pr/dUwq5VAKlXIKsBLXrleh67xGn4nDGrWBSnEKCQUhE4SYIAgZlxmFQZhz+eGVflOvMWHeoAmsPlmPzsSqYbcHt0idBI2drCyKibs5f9+lERBR9vt1TihdXHAQAHK9swIYjlUHZj0wiICdJg9xkDXISNeiZpEFOkhrZjUnweLXv7p6JiLoarcrzeGXo5klxa2PvAa4u9u2Nnx1n51k85zVft/k8o9UBudT14IVaLnW39Ff7mlZIoG58QEOtkEKjkEItl0HT9FkhhUYhc39WyiSQSST87j8ARNHVi4PV4YTV3uzlcPUIYW3sMcJgtkNntkFnskFntje+26AzuebXNybCqw3WgIxdHQhalQypWiVSY5Wu96ZX43RKrLJxGAU51PL2t97uDnqnxHrN+3rXaZ/rSiUC0uNUyEpUI0mjQJy6WY8eKlnjuxzaps+N82Pa2btHpOK38xQS3SGYiCiy9IhT4ZZRPXHLqJ4wWR3YcrwKPxyswLpD5SjXWQK+v4kDewS8TCIiiiy+viwSu/Ywa0RE1AEmqwPPLysIaJmZ8SrEwogR/XuiT1oc8hpbfGclqiGP8tZRRNQ9aFUtW4pHT/fpoiiizmjDGZ2rG+rqBlfSsrIxeVndOARfrdHamMx2BLUXkUATBNdDWlKJ4E6SyyQCZFLXtFohRbxa7vFqSs7FNyblpIIAu1OEU3R172+x2bG7UoBxVwkgSOBoXGZ3nF3H7hThdIpwiM3GYBZd85qWCYIAhUwChVTiem/xWdk4bXOKMFsdMNkcMDa+W+wOWGxOj+EMmj7b2vn7sTnExiR384S35+dIopBJ/Ca5W06r5NJwVzfiDcjQQiKgTS36HU7R3ftpe0gE18NJWpUMdl30/s6YFKeQ8DV+IhFRV6FWSHHFwB64YmAPiOJ5qDfZPLo0PF1rREmdGXXGphsUh/siu+kC1uZwurqtkUmgkrueoE2KUSApRokLcuIx+7K8cP+YREQUZr4uidlSnIgo+mw6WokqQ/setFXKJMhOVCMnSeN6b2z13Ts1BrlJMZAJTqxcuRJTpw6CXM7W30QUfVomxbvq2MUtOZwiqg0WlOssKNeZUaF3vRfXGnG6xoQynQnlOgus9shKeraHKLqSvjaHCCCQP6cUOHYggOVRawQBSI45d5I7VatEnErGFt0hlBKrxA3Ds/HVTt+twwPBKQL1JldvA05L9P5umRTvpoqKivDxxx9j2bJlKCoqQnV1NdLS0pCXl4cbbrgBt956K1JTUwO2P7YUJ6JIIQgCEjQKJGgUOC8rPtzVISKiKOLrQVEnk+JERGFltTtxvNIAhUyC3skxAfn+4tfiOq95CRpXy5ucRE3j+N5NCXANchLVSIlVtrpvW5CHeyIiCreW3aeHc0xxu8OJmgYrKvQWVLUYi7mmwYJ6kw2VBgsqdK7lXaSXaiKfEjRypMa6uilPaUxup2gVje+u6TStEkkxiqgfmzuSPXv1IOworEFhtREAMCBdi/Oy4lGuM6Ok1tUy3BLFD98ECpPi3dBbb72FJ554AiaTZ/cJp0+fxunTp7Fx40Y8//zzePfddzFjxoyA7JMtxYmIiIiou/M1priT36ARRTRRFGG0OlDT4OpRyGCxw2J3wmJz9SSUEqtERrwKSrmrK1G5RAKptLFLUYkEcqnAVjZhVK4zY+Z7P7u/XByUEYc3b74AqVqlexxOmUSARCJAKri6hZVKBIgiYHU4YWve9anD9Tu32UX8cqLaYz+/H98HT0weEPKfj4gokgS7+3RRFKEz2VFpcLXmrmz5akx+VxksqG6woqs9u6pRSBGjlCFWKUOMUooYRdNnWeP85svPztMoZHA6RZhsri7BTVZXF+Cuz06YGrsENzV2Gd60jtFqd3cjbrSencfbl9CTSgR3l++xSpnX2NAtx4xOcSfAFUiOUUIhY6I7GsRr5Fh8/6VYtf8MUmIVuGJgD48h2kRRRHWDFSW1JpTWmVBab/Yac77lWPQGi93nsU5A9AY6k+LdzLPPPosXX3zRY15+fj6ysrJQUlKCY8eOAQBqamowc+ZMNDQ04K677ur0fmVS3uQTERERUffmqwUgv1Qi6ppEUUS9yeYaj6+x5UVpXdO7GXqzDQ0WB2qM1k51hyqTCIhVyRCjkCFBI0dusgYZ8WqfX3DGNY652UOrZCueAPl8W5E7IQ4ABWU6TPz3xoDvZ2h2QsDLJCKKNu1tKS6KIvQWO+oabKhtHO6uztj02YZqg8Uz+W3oGl2YJ8cokBKrRHKsAsmxSqTENk7HKJAYo4C28bqgZQK8K/TEKoqie2xto9UBq90Ju1OE3emE3dE0znfzzyJsDicMFrs7GVdvsqHe6ErINXXVrGt8AKL5A2gSAAaDHkkJ8ZBKJR7L3C/B9eBa8wfYmn+WSASIotjqON5Nn2VSAWqFDGq5BGq5FCr3SwKlTAqlXAKVzDVPKZNALpOgrb8REa5rPo9xzWUSKFtMe4x1LpW6P0u7wO+euoakGAVuvainz2WCILgfiBiak9Cm8pxOEQZrY3w2Js5rDWb8uGETXg9gvbsSJsW7kcWLF3skxAcNGoSPPvoIF154oXvezp07cccdd6CgoAAAcO+992Lw4MEYNWpUp/btq1UMEREREVF34uu7DI4pThQeoiiizmjD6VoTTtcaXeN+1prc0yW1JjRYHUGvh93pqked0ZWAP1CqO+c2STEKvHzD+Zg0OD3o9Yt2h8/oQ7KfYT0TQrIfIqJI1rKl+M8nqvHnr/ag3mRr1lLZ1XJZZ7KhzmSDows9YSqVCK5uqOOUSNOqkBGvQm6yBlkJavSIV6FHnAqpsZHdalcQBHeyOEET3H3ZbDasXLkSU6eOhlwuP/cGRNRuEongeghXJQcSXfNsNhvqDnSdY2ugMSneTdhsNjz++OPu6ezsbGzatAlJSUke61144YXYtGkThgwZgpKSEtjtdjz22GPYuLFzT0rzaSYiIiIi6u58XROz+3SiwGvqHrVcb0a5zoxynQXlOjMqdGaU1JncyW+DJXxjlXZGTYMVf1q0B6OfSEa8hl8Sd0ZRjfHcK3XS0JwE9IhTBX0/RESRLk7lnapYtON0GGpylkQAkmOVHmMvp8QqEK+RI0mjcCW6tUr0iFMhKUbB78CJiLo4JsW7ic8++wwnTpxwT8+ZM8crId4kKSkJc+bMwcyZMwEAmzZtwsaNGzF27NgO758txYmIiIiou/M5pjhbihO1mcnqQHWDBTUNVlQ3WFFjsKLKYHElvfWupHdTAtwShu5R5VIBWpUcKpkESrkUggCcqTfDGIQW5waLHUOfX42p56dDJZdCo5BCLZc2dvsphVougUYhg0ohhUYuhVrR+JK7XhqF1L2su3bFLooiiqoDnxRv6v5ULhUwrGcixxInImqjlt2nB1OcSoa0xpbbqdpmr2bTKbFKJrqJiKIMk+LdxJdffun+nJmZienTp7e6/g033IDMzEyUlpa6t+9MUpwXD0RERETU3flOioehIkRhZnc4oTe7xqxrGrtO1zieZE2DDTUNFlfSu/FVbXC9m2zB7868JUEAemhVyEpUIytBjcwENbIS1UjSKKBRSpGoUSBJo0BijByxShmEFnEuiiJMNgfsThEOhwib0+kaY9PhGmPTaHXAYLHDYHa1bD9VbURNg9X9/+H5/+Pdsn3lvjOd/hnlUsFHYr0xqd6YUG+ZWNcoXF2ntkywK+VSyKUC5FIJZJLGd6kAmcSVJJY1zldIJWEfG7XeZIO+RW8Bqx8Zi1ilzD0eKeDq0cMhun5nTlF0d9XrNf6n1DXmZ8u/ASIiapuW3ae3h1wqIEGjQKJG7n5PilEirVnCO61Zslsllwaw5kREFCmYFO8GTCYTfvjhB/f05MmTIZO1/quXyWSYNGkS5s+fDwD49ttv8dZbb3W4Dt30wXMiIiIiIjefY4ozK05dkNPpSt7aHCJsdiesDiesdidsDidMNgf0RgsO1QmQF1TA6gSMVgeMVjtMjeN8usf9tDlgtHgnv0MxVndbSQQgI16N7EQ1shM1je9nP/eIU3Vq7E9BEKBRBOarl72n63Dd//spIGU1Z3OIsDns0PtIugeTRABkUgnkEleyXN6YPJc1JtWlEgFSQYBUIkAmFSARBMgkrummV8tpqcSVdHevK21WRovt6kw2r/r0TomBnF9gEBGFRWaCGoIAtOxI6beX9EJWgtr9AJZGIUWsSoZEjQIJGjkSNQpoFFI+lEREROfEpHg3UFBQAIvF4p6+9NJL27TdpZde6k6KFxUVoaamxm+X6/7Yak5DolDj9MkEHEJtm7eLjY1Fdna2z2WlpaXQ6XTtqkcTlUqFXr16+VxWXl6O2tq217E5uVyOPn36+FxWXV2NysrKDpUrkUjQr18/n8vq6upw5kzHWwX069cPEon3zb5er0dJSUmHy+3Tpw/kcu/ujkwmE06dOtXhcnv16gWVynscNqvV6jE0QHtlZ2cjNjbWa77D4cDRo0c7XG5GRgbi4+N9Ljt8+DDEDnaVmpaW5jcOjx07BpPJhNOnT+PQoUM+fw/+JCUlIS0tzeeykydPehxD2iM+Ph4ZGRk+lxUXF6OhoaFD5fIY4cJjxFnhPkbYbLZ2xV64jhF2e8e+7OYxwoXHiLO6yjGirbEX7mNEE1EUYasu9pg3+bnPkapVwtHYEhEAVHHJkKtjIQgCBLhaqjZ9NlYWQSmVoGeSBgqZxJ3gafoSUGh8odl2TWITkxCjTTy7rNl61aVFEB3NEpXC2TfB/Vnw2A6N5cdoE6BNTPa5XlVZMRw2q7vA5t9VNv/53Lts9nPExGqRkJLmuVHjsuryUlhMRq8ym/bvtUEzanUMknucPfY0376mshzmBkOr27f8urXp/1iuUCItM8djucXuRE2DBRUV5TDqdRDh+qJXhAg0HupFUYSzcbL5fFeLVECQyhCflg2H6Gql6nS61neIIky6WjTU18IputZ3NpXVuJ5DFCGKOLvcKUKE62EMuwgokrJgc4iwNCa8m16WBj0cDW04pm0u9TlblpQFQfA+RjgtRjgM1ecu1w9ZQgYEqffXGE6bBQ5dhc9t4lQyJMcqXa8YBVJjlUiPV7lecSqkaJXo2yfP/zHi2JEO1zfQ9xoKAHcPluN/v+rgkKt9rmOrPg33H1E7STQJkKq1vsutLQWcHXuYQaLSQhqT4DXfKQINVaWAw+a9URsIyhjIYn1f99h1lRBt5naV1yNOheNHj3TZ6wh/5zxeR5wVrfca7cV7DZdA3Wu0jL2ueozwJ9KOEVOyHVhRJEAQXNe5c2YMxfUXZAFocYxwANADBj1g8F+cBx4jXCLlGNEUexUVFcjKyvK5Tlc4RrTEY4QLryPOirRjhL+/h6ghUtT76KOPXN+vNL42btzYpu02bNjgsd2mTZvavM/6+nqPbdv7uvbaa/2Wfdttt3W43NGjR/st95FHHulwuX369PFb7j/+8Y8Ol6vVav2W+8EHH3Tq/9hsNvss95tvvulUucXFxT7L3bJlS6fK3blzp89yjx492qlyV61a5bPczv4Nf/zxx35/dwqFosPl/utf//JbblZWVofLffLJJ/2WO2zYsA6Xe8899/gt96qrrupwuTxGuF48Rpx98RjhevEY4XrxGOF68Rhx9hVpx4jka/4k5j6x3OcLUlmHy02ccI/fcqWxyR0uN270b/yWq+jRp8Plxg65ym+5ql4dP/ao80f5LTdm0PgOl6vI7O+3XO2I6ztcriwhw2+5CWPv6HC5gkLtt9ykyQ926m+455+W+Cw39YZnO1Vu1u8XiLlPLBfz/7JCHPniGnHSvzeIt33wizjzhQWdKjfSjhFvv/9fceG2IvGdH4+J/1p9WHxpRYH49JK94qMLfxUlMnmHy+UxwvXidYTrxeuIs69IO0bwXsP14r2G6xWJx4iC4irx5+NVYrXB4lEujxEu3e0Y8fjjj/stl8cIl+52jOB1hOsVjGOEIAii1WoVP/vsMxGAWF9f7/f3GKnYUrwbKCws9Jju2bNnm7bLzc31KmfMmDE+17VYLB5PZXX0iacmTqcTNpvvp8WdTmeHyxVFMSjlAvBbrsPRua4Bg1muryeqOvpkb/NyfdW5s+Xa7Xaf5fr7/+mq5XaWw+EIebliB58QBVqP5WCVy2NE4MrlMYLHiLaUy2NE58sFeIxoXi6PEUTkz+ezR2BQfm9oVZ5jd//yixULO1FupB0jNHIB0y9I97ns/0kEWDtY7swR2bjmlqGN3eC7uso3WR0w2xx46UMp9G1tihfheB0RmnJ5HcF7jbaUy3uNzpcLRN4xIidBiXyl0msfPEYEt9zOCtYxIhyxzGOES1c9RvA6IrjlRvv3GUyKdwMtE9QJCQlt2q5lNyp6vd7vui+//DL+/ve/t7tu/lRUVGDlypU+l5WW+u6iry3q6ur8lnvy5MkOl9vQ0OC33MOHD3e4XLvd7rfcffv2dbhcAFi1apXP7kB27tzZqXLXrVuHlJQUr/mHDh3qVLmbN29GWVmZ13xf89pj+/btPk9sRqOxU+Xu2bMHiYmJPpd15kLl4MGDfv8mzOb2dQ/Y3IkTJ/yW25mHXIqLi/2W29HudwAeI5rwGHEWjxEuPEa48BjhwmPEWZF2jCCKdBelOaFWOCGXAkqJCLUMUEuBQpMDn3Si3CO7f0FN8TGv+d3tGBGs6whLVRHshTshByAHENdsmQId//JyfIaIGSPscIhwvZxwf35ZJeJ0B8vtGevEFT0dcIiNQwRAaBwqAFilBDp6xud1hAuvI87iMcKF9xouPEa48BhxFo8RLsE6RhQWFvIYAR4jmuMxwiVYx4g1a9Z0avuujknxbsBg8HycW632PfZYSy3Xay0p/tRTT+HRRx91T+t0OuTk5LSjlp7S0tIwdepUn8sWLux4G4CEhAS/5f74448dLjcmJsZvuZ05yMtkMr/ldmbcDQCYPHkylI1PXTbX2Se1Lr/8cp/jprR3PPqWxowZg2HDhnnNP3bM+0ux9hg5ciSuuuoqr/md7e1g6NChfn93vp5ka6uBAwf6LdfX2CRtlZeX57fc5557rsPl5uTk+C337bff7nC5PEa48BhxFo8RLjxGuPAY4cJjxFmRdoy46+KemHD1BRBxdnxowJXouWmOBPYO/jcPzozD8KEZZ8e0Bho/A/+TS9GxUfOA3CQNLuyf4lFeY/FYrpSipoPlpsQqcGFugs9lm9RydPSrtXiVHBfkeD4A3NQYZKdG3uH/B41ChvMy4zzmSSUCEjVy/LonBns6WK5WJcNvL+4JiSBAIhEgEQCp4BpHfn15Er7b2LFyVXIp3rnlAshlAhRSCeRSCeRSAXKpBN8uOoa/repghQH89/6rfB4jli2z45O5HS+XxwiXSLuO6J+fhxnX+y73g9efw+kODtF4Uf8c/Ov/pvhcdvXyt1Dawe9xeR3hwuuIs3iMcOG9hguPES48RpzFY4RLsI4RvXr14jECPEY0x2OES7COERMnTsQ333zTqTK6MkHsTF8QFBFmz56NefPmuacdDkebTnBOpxNSqdQ9/eKLL+Lpp59u0z51Oh3i4+NRXl6O5OTk9lca8Nh3y3p15s+W5bpIJBKPLgebiKLYqacCWa6LIAh+46wzJ+hzlWuz2bBy5UpMnTrV5xNzHS23o4JVLhB5MRdp5UZazIW73PbGXqTFXKSVC0RezEVaueGOuSZtjb2uUt+2irSYi7RygciLua5W7rliL9JiLtLKjbSYi7Ryga4Xc0DrcdcV69uaSIu5SCs30mKuq5frK/YiLeYirdxIi7lIK7erx1yTpti7+uqrfSZAO1puk+52HRFN5UZazEVauU6nE1999RVuvfVW1NfXIy4u7twbRRC2FO8GYmJiPKbNZjM0Gs05tzOZTK2W0xZSqdTvwa+jOvPEGss9N0EQAv47Y7megllu08MsgYy9SPt/iLSYi7RyIy3mQlVuIGMv0mIu0sqNtJiLtHJDHcudjb1IO/YAkRdzkVZupMVcuMrtaOxFWsxFWrlA5MVcpJUbzljuSNxF2rEn0mIu0soFIi/mukK57Ym9SIu5SCs30mIu0soFukbMNWmKvdb+nrpSfdsi0mIu0sqNtJjrquV2doz6ri44f33UpcTGxnpMt3VMgZbrabXagNWJiIiIiIiIiIiIiIiIiCgUmBTvBlJTUz2my8rK2rRdy/VSUlICViciIiIiIiIiIiIiIiIiolBgUrwbGDBggMf0qVOn2rRdy/ValkNERERERERERERERERE1NUxKd4NDB482GN6165dbdqu+XoKhQL5+fkBrRcRERERERERERERERERUbAxKd4N5OTkIC8vzz29YcOGNm3XfL0xY8ZAKpUGvG5ERERERERERERERERERMHEpHg3MX36dPfn9evXo6ioqNX1i4qKPJLiN954Y9DqRkREREREREREREREREQULEyKdxN33XUXJBLXr9vpdOKFF15odf3nn38eTqcTABAbG4sZM2YEvY5ERERERERERERERERERIHGpHg3MXjwYNx+++3u6Q8//BAffPCBz3Xff/99zJs3zz392GOPISUlJeh1JCIiIiIiIiIiIiIiIiIKNFm4K0Ch8/rrr2PTpk04efIkAODee+/FsmXLcPPNNyMzMxOlpaX44osvsGzZMvc2I0eOxOOPP97ufYmiCADQ6/WQy+WB+QGI6JxsNhuMRiN0Oh1jjyiEGHtE4cHYIwoPxh5R6DHuiMKDsUcUHow9ovBoij3gbJ4vmghiNP5U5NehQ4cwadKkc44pDgBDhgzBmjVrkJaW1u79nDhxAn369OlIFYmIiIiIiIiIiIiIiIgoTIqLi5GdnR3uagQUk+LdkE6nw1NPPYWPPvoIBoPBa3lycjJ+//vf49lnn4VCoejQPurq6pCYmIiioiLEx8d3tspE1EY6nQ45OTkoLi5GXFxcuKtD1G0w9ojCg7FHFB6MPaLQY9wRhQdjjyg8GHtE4dEUewUFBejfvz8kkugahZvdp3dDcXFxePvtt/HPf/4T69evx6lTp1BbW4uUlBT06dMHY8eOhUzWuT+NpkCJj4/nSYsoDOLi4hh7RGHA2CMKD8YeUXgw9ohCj3FHFB6MPaLwYOwRhUdWVlbUJcQBJsW7NbVajSlTpoS7GkREREREREREREREREREQRN9aX4iIiIiIiIiIiIiIiIiIqJGTIpTUCiVSvztb3+DUqkMd1WIuhXGHlF4MPaIwoOxRxQejD2i0GPcEYUHY48oPBh7ROER7bEniKIohrsSREREREREREREREREREREwcCW4kREREREREREREREREREFLWYFCciIiIiIiIiIiIiIiIioqjFpDgREREREREREREREREREUUtJsWJiIiIiIiIiIiIiIiIiChqMSlORERERERERERERERERERRi0lxIiIiIiIiIiIiIiIiIiKKWkyKU8AUFRXhpZdewujRo5GZmQmlUomcnByMGzcOb775JiorK8NdRaKQslgsWLduHf7617/immuuQV5eHrRaLRQKBVJTUzFs2DDcd999+P777yGKYpvKLCwshCAI7X4NGDCg3fVnTFMkClWMBDM+GHsUaToSc81fvXr18ls2z3vUXen1emzatAlvvPEG7rjjDgwePBgymaxNcdNWkXouY6xSsAQr7oJxXwjwHEnRIxixFy3xwdijYApG7PHekOjcgnVt2FyknptCEnsiUQDMnTtXVKvVIgC/r6SkJHHhwoXhripR0J05c0a85ZZbRK1W22pMNH8NHjxY/OWXX85Z9smTJ9tcZvNX//792/UzMKYpUoUiRoIZH4w9ikQdibnmrwsvvNBv2TzvUXfUr18/URCEVv8ec3NzO7WPSD2XMVYpWIIRd8G8LxRFniMpOgTrnBcN8cHYo2AKVux1JO6av3hvSNEs2NeGTSL13BSq2JOBqJOeffZZvPjiix7z8vPzkZWVhZKSEhw7dgwAUFNTg5kzZ6KhoQF33XVXOKpKFBLFxcX4/PPPveZnZGQgOzsbWq0WZ86cwaFDh+B0OgEABw4cwJgxY7Bw4ULccMMNbd7X2LFjoVarz7leTk5Om8tkTFM0CXSMBDM+GHsUqSZNmtSu9QsLC3H48GH39O23397mbXneo+7gyJEjQS0/Us9ljFUKpmDEXSjvCwGeIykyBfuc1yTS4oOxR8EWrNjjvSGRf6G4NozUc1NIY69TKXXq9r7++muPJzUGDRok7tixw2OdHTt2iIMGDXKvI5PJxK1bt4apxkTBt337dvff+0UXXSS+++674smTJ73WKysrEx944AGPJzMVCoV46NAhv2W3fCrSV7mdwZimSBfMGAlmfDD2qDu57rrrPM57VVVVftfleY+6o6a/tZiYGPGSSy4RH3jgAXH+/Pni5MmTO9VyRxQj91zGWKVgC0bcBfO+UBR5jqToEKxzXiTHB2OPQiGY15vtwXtD6k6CfW0YqeemUMcek+LUYVarVczLy3P/IWZnZ4vV1dU+162urhazsrLc61522WUhri1R6OzcuVO8/vrrxZ07d7Zp/blz53oc+G+88Ua/6wbzApAxTdEgWDESzPhg7FF3UlZWJspkMvff8IwZM1pdn+c96o4++eQTsaCgQHQ4HB7z77zzzk59SRmp5zLGKoVCMOIumPeFoshzJEWHYJ3zIjU+GHsUKsGKvfbgvSF1N8G8NozUc1M4Yo9JceqwBQsWeATlokWLWl1/4cKFHutv2LAhRDUl6vpGjRrljg2VSiU2NDT4XC+YF4CMaYoGwYqRYMYHY4+6k1deecXj7/f7779vdX2e94jO6uyXlJF6LmOsUjiFMjkgim2/LxRFniMpunXlpDjPeRTNQnne470h0bm19dowUs9N4Yg9CYg66Msvv3R/zszMxPTp01td/4YbbkBmZqbP7Ym6u+uuu8792Ww2o7CwMOR1YEwT+RfM+GDsUXcyf/589+eePXviyiuvDFtdGHvU3UTquYyxSt1JV7gvBBh3RK3hOY8oMHhvSHRubb02jNRzUzhij0lx6hCTyYQffvjBPT158mTIZLJWt5HJZJg0aZJ7+ttvvw1a/YgiTXJysse0TqcL6f4Z00T+BTM+GHvUnWzevBmHDx92T991112QSMJzO8LYo+4mUs9ljFXqbsJ9Xwgw7ohaw3MeUWDw3pCobdpybRip56ZwxR6T4tQhBQUFsFgs7ulLL720Tds1X6+oqAg1NTUBrxtRJGr5lFdaWlpI98+YJvIvmPHB2KPu5L///a/7syAIuOuuu8JWF8YedTeRei5jrFJ3E+77QoBxR9QanvOIAoP3hkRt05Zrw0g9N4Ur9pgUpw4pKCjwmO7bt2+btmu5XstyiLojURTx1VdfuaczMjLQu3fvNm375z//Geeffz4SEhKgVCqRnp6OkSNH4uGHH8aGDRvaXAfGNEWrQMRIMOODsUfdhcFgwKJFi9zTV155JXJzc9tdDs97RB0Tqecyxip1J525LwR4jiRqTSTEB2OPugveGxK1TVuvDSP13BSu2GNSnDqk5RMqPXv2bNN2LU9w4Rofi6gr+eyzz3D8+HH39G233QZBENq07Zdffon9+/ejvr4eVqsV5eXl2LFjB958802MHz8eF110Efbv33/OchjTFK0CESPBjA/GHnUXX3zxBRoaGtzT99xzT4fK4XmPqGMi9VzGWKXupDP3hQDPkUStiYT4YOxRd8F7Q6K2aeu1YaSem8IVe0yKU4e0HLsgISGhTdvFx8d7TOv1+kBViSginT59Gn/84x/d0wkJCXjqqafavH1ycjJGjRqFK664AhdddBFSUlI8lm/btg2jRo3C8uXLWy2HMU3RKhAxEsz4YOxRd9G8e7ykpCRMmzatQ+XwvEfUMZF6LmOsUnfR2ftCgOdIotZEQnww9qi74L0h0bm159owUs9N4Yo9JsWpQwwGg8e0Wq1u03Yt1+PJgrozo9GIG264AdXV1e557733HpKSklrd7sILL8Tbb7+NEydOoKqqClu3bsUPP/yAX375BZWVldixYwd+85vfuNc3mUyYOXMmfv31V79lMqYpmgQ6RoIZH4w96g4OHTqEn3/+2T19++23Q6lUtnl7nveIOi9Sz2WMVeoOOnpfCPAcSdSaSIsPxh51B7w3JDq39l4bRuq5KVyxx6Q4dYjNZvOYlslkbdpOLpe3Wg5Rd2G323HzzTdj+/bt7nl/+MMfMGPGjFa369WrF3bs2IH777/f7/hyF154Ib788kvMnTvXPc9oNOKhhx7yWy5jmqJFMGIkmPHB2KPuYN68eR7T7ekej+c9osCI1HMZY5WiXUfvCwGeI4laE4nxwdij7oD3hkSt68i1YaSem8IVe0yKU4fExMR4TJvN5jZtZzKZWi2HqDtwOp2YNWsWli1b5p43Y8YMvPnmmwHdz4MPPoi7777bPb1p0ybs2LHD57qMaeqO2hojwYwPxh5FO5vNho8//tg9PWLECAwZMiQo++J5j8i/SD2XMVYpmoXqvhDgOZKoNV0lPhh7FO14b0jUuo5eG0bquSlcscekOHVIbGysx7TRaGzTdi3X02q1AasTUSRwOp347W9/iy+++MI978Ybb8Snn34KqVQa8P09/fTTHtOrVq3yuR5jmrqrtsRIMOODsUfRbvny5SgvL3dPz549O6j743mPyLdIPZcxVilahfq+EOA5kqg1XSE+GHsU7XhvSORfZ64NI/XcFK7YY1KcOiQ1NdVjuqysrE3btVwvJSUlYHUi6uqcTifuuecej6cip0+fjs8//7zN3YO0V15eHnJzc93Thw4d8rkeY5q6q7bESDDjg7FH0e6///2v+7NGo8Ett9wS1P3xvEfkW6SeyxirFI3CcV8I8BxJ1JquEB+MPYp2vDck8q2z14aRem4KV+wxKU4dMmDAAI/pU6dOtWm7luu1LIcoWjmdTsyePRsLFixwz5s2bRoWLlzoNQ5GoGVkZLg/V1VV+VyHMU3d2bliJJjxwdijaFZWVobvvvvOPf2b3/wGcXFxQd8vz3tE3iL1XMZYpWgTzvtCgOdIotaEOz4YexTNeG9I5Fsgrg0j9dwUrthjUpw6ZPDgwR7Tu3btatN2zddTKBTIz88PaL2IuqKmk9v8+fPd86ZNm4ZFixaF5IuP5l2KqNVqn+swpqk7O1eMBDM+GHsUzRYsWACHw+Gevueee0KyX573iLxF6rmMsUrRJNz3hQDPkUStCXd8MPYomvHekMhboK4NI/XcFK7YY1KcOiQnJwd5eXnu6Q0bNrRpu+brjRkzJmhjZRF1FeH+4sNiseDYsWPu6fT0dJ/rMaapu2pLjAQzPhh7FM2an/vy8/MxduzYoO+T5z0i3yL1XMZYpWgR7vtCgOdIotZ0hfhg7FE0470hkadAXhtG6rkpXLHHpDh12PTp092f169fj6KiolbXLyoq8viDvfHGG4NWN6KuQBRFr5Pb9OnTQ/rFx+LFiz2eihwzZozfdRnT1B21NUaCGR+MPYpGGzduxNGjR93ToWoJwPMekX+Rei5jrFKk6wr3hQDPkUSt6SrxwdijaMR7QyJPwbg2jNRzU1hiTyTqoP3794sSiUQEIAIQZ8+e3er699xzj3vd2NhYsbKyMkQ1JQo9p9Pp8TcPQLzhhhtEq9UasjqUl5eLPXv2dO8/JiZGrKqq8rs+Y5q6m/bESDDjg7FH0ejOO+90/51KpVKxtLQ06PvkeY+iXfO4ys3Nbff2kXouY6xSOHU27rrCfaEo8hxJkaezsdceXSk+GHsUbsGIPd4bEp0VrGvDSD03hSP2mBSnTrnjjjs8Avj999/3ud57773nsd5zzz0X4poShY7T6RTvvfdej7/5G2+8UbTZbJ0qd8uWLeLvfvc78dChQ+dcd+/eveKgQYM86vDXv/71nNsxpimSBTtGghkfjD2KJjqdTtRoNO6/02uvvbZD5fC8R+QpEF9SRuq5jLFK4dKZuAvWfaEo8hxJ0a8zsRfp8cHYo3AKdFKc94ZEZwXz2lAUI/fcFOrYE0RRFEHUQRUVFRg9ejROnjzpnnfttdfi5ptvRmZmJkpLS/HFF19g2bJl7uUjR47E+vXrodFowlFloqBbtGgRZs6c6Z4WBAGXX345ZDJZm8v405/+hIkTJ3rMW79+PSZMmAAAGDp0KC6//HIMGTIE6enp0Gq1MBgMOHbsGL7//nusWLECTqfTve3EiROxfPlyKBSKVvfLmKZIFuwYCWZ8MPYomrz//vv43e9+555eunQprr/++naXw/MedVcvvvgiXnzxRa/5NpvN4+9cqVR6rTNr1ix88MEHfsuO1HMZY5WCLRhxF6z7QoDnSIoewYi9SI8Pxh6FQjCvN5vjvSHRWcG8NgQi99wU8tjrUCqdqJmDBw96dEfS2mvIkCFieXl5uKtMFFTz589vUzy09po/f75XuT/++GOHyrrzzjtFg8HQ5vozpilShSJGghkfjD2KFhdddJH7b7VHjx4dfuqZ5z3qrv72t791+BryzjvvPGf5kXouY6xSMAUj7oJ1XyiKPEdS9AhG7EVDfDD2KNiCfb3ZhPeGRGcF89qwSaSem0IZexIQddKAAQOwb98+3H///YiNjfW5TnJyMp555hls374daWlpIa4hUXTo3bs3br/9duTn559zXZlMhuuuuw5r167FggULEBMT0+b9MKYpUoUiRoIZH4w9igYFBQXYunWre/rOO+9s11PPzfG8RxQckXouY6wSncVzJJF/0RAfjD2KBrw3JAq9SD03hTL22H06BZTJZML69etx6tQp1NbWIiUlBX369MHYsWM7fNIjIm9VVVXYu3cvKisrUV1djdraWqhUKiQmJqJv374YMWIE1Gp1p/fDmKZIFYoYCWZ8MPaIPPG8RxQckXouY6wSncVzJJF/0RAfjD0iT9EQ10ShEKnnpmDHHpPiREREREREREREREREREQUtdh9OhERERERERERERERERERRS0mxYmIiIiIiIiIiIiIiIiIKGoxKU5ERERERERERERERERERFGLSXEiIiIiIiIiIiIiIiIiIopaTIoTEREREREREREREREREVHUYlKciIiIiIiIiIiIiIiIiIiiFpPiREREREREREREREREREQUtZgUJyIiIiIiIiIiIiIiIiKiqMWkOBERERERERERERERERERRS0mxYmIiIiIiIiIiIiIiIiIKGoxKU5EREREREQU5caPHw9BECAIAp577rlwV4eIiIiIiIgopJgUJyIiIiIiIgqzwsJCd9I60K/CwsJw/3hEREREREREYcWkOBERERERERERERERERERRS1ZuCtARERERERE1N2p1WpMmjTpnOtt27YNtbW1AACVSoVx48a1qWwiIiIiIiKi7kwQRVEMdyWIiIiIiIiI6NzGjx+PDRs2AAByc3PZNToRERERERFRG7D7dCIiIiIiIiIiIiIiIiIiilpMihMRERERERERERERERERUdRiUpyIiIiIiIgoyo0fPx6CIEAQBDz33HN+1+vVq5d7vQULFgAAHA4HvvrqK1x//fXIy8uDSqVCQkICLrvsMnzwwQdwOBxe5ej1evzrX//CmDFjkJiYCIVCgczMTNx4441Yu3Zth36Gbdu24c9//jNGjhyJjIwMKJVKpKSkYOjQoXj00Uexa9euDpVLRERERERE0U8W7goQERERERERUddUWlqKW2+91T2OeROLxYLNmzdj8+bNWLhwIZYtWwa1Wg0A2LhxI26++WaUlZV5bFNWVobFixdj8eLFePTRR/Gvf/2rTXU4ffo07r//fixbtsxrWXV1Naqrq7F371688cYbmDVrFt59911oNJoO/sREREREREQUjZgUJyIiIiIiIiIvBoMBV111FQ4cOAAA6N27N3Jzc2E0GvHrr7/CarUCANauXYtZs2bhq6++wqZNmzBp0iSYzWYIgoDBgwcjLS0NFRUV2L9/v7vsOXPmIC8vD3/4wx9arcOePXswdepUlJaWuufJ5XIMGjQIycnJ0Ol02LdvHywWC0RRxEcffYTDhw9j7dq1iImJCcL/ChEREREREUUidp9ORERERERERF6ee+45HDhwAJdccgl27dqFEydO4Mcff8TWrVtRWlqK66+/3r3u119/je+//x4zZ86E2WzG3XffjZKSEuzbtw9r167Fvn37sG/fPvTr18+9zV/+8hcYDAa/+6+ursY111zjTognJCTg7bffRm1tLX799VesXbsW27dvR01NDV577TUoFAoAwNatW/Hggw8G6X+FiIiIiIiIIhGT4kRERERERETkpbq6GuPGjcO6deswbNgwj2XJyclYtGgR8vLy3POuu+46lJWV4YknnsC8efOQkZHhsc15552HpUuXQiqVAgB0Oh0WL17sd/8PPPAATp8+DQDIyMjAjh07cP/993u1ANdoNHj88cfxzTffQCJxfc0xf/58jjFOREREREREbkyKExEREREREZEXqVSK+fPnQ6lU+lyuUChwzz33uKetViv69euHF1980W+ZAwcOxIQJE9zTmzdv9rne8ePHsWjRIvf0vHnz0KdPn1brO3nyZPz2t791T8+dO7fV9YmIiIiIiKj7YFKciIiIiIiIiLxMnDgRvXv3bnWd0aNHe0zffffdkMlkbd6moKDA5zoff/wxnE4nAGDQoEGYMmVKW6qMO++80/15zZo1bdqGiIiIiIiIoh+T4kRERERERETk5eKLLz7nOunp6e3epnm36rW1tT7X2bBhg/vzlVdeec4ymwwdOtT9ubS0FGVlZW3eloiIiIiIiKJX649vExEREREREVG31DLh7YtGo+nUNkaj0ec6e/fudX9etWoVJk+efM5yfamsrPQa25yIiIiIiIi6HybFiYiIiIiIiMiLQqEI+jaiKHrNczqdqKurc08fOXIER44caXddAHiUQ0RERERERN0Xu08nIiIiIiIioi7DZDK5xxPvrECVQ0RERERERJGNSXEiIiIiIiIi6jJiYmIgl8vd0x988AFEUezQa/z48eH7QYiIiIiIiKjLYFKciIiIiIiIiLqUHj16uD93tOt0IiIiIiIioiZMihMRERERERFRl3LJJZe4P69evTqMNSEiIiIiIqJowKQ4EREREREREXUpU6dOdX/es2cPNm3aFMbaEBERERERUaRjUpyIiIiIiIiIupRbbrkFOTk57un77rsPOp0ujDUiIiIiIiKiSMakOBERERERERF1KQqFAv/85z/d0wUFBZgwYQKOHj16zm0PHTqEBx98EK+//nowq0hEREREREQRRBbuChARERERERERtTRjxgzs3bsXL730EgBg165dGDhwIK677jpMnDgReXl5iI2NhU6nQ2lpKX799VesW7cOBQUFAIC//e1v4aw+ERERERERdSFMihMRERERERFRl/Tiiy8iMzMTDz/8MGw2GxwOB5YsWYIlS5aEu2pEREREREQUQdh9OhERERERERF1Wffffz8OHz6Me++9F3Fxca2uGxsbi6uvvhr/+9//8Pjjj4eohkRERERERNTVCaIoiuGuBBERERERERHRuTgcDuzYsQMHDx5EdXU1zGYzYmNjkZ6ejv79++O8886DTMZO8YiIiIiIiMgTk+JERERERERERERERERERBS12H06ERERERERERERERERERFFLSbFiYiIiIiIiIiIiIiIiIgoajEpTkREREREREREREREREREUYtJcSIiIiIiIiIiIiIiIiIiilpMihMRERERERERERERERERUdRiUpyIiIiIiIiIiIiIiIiIiKIWk+JERERERERERERERERERBS1mBQnIiIiIiIiIiIiIiIiIqKoxaQ4ERERERERERERERERERFFLSbFiYiIiIiIiIiIiIiIiIgoajEpTkREREREREREREREREREUYtJcSIiIiIiIiIiIiIiIiIiilpMihMRERERERERERERERERUdRiUpyIiIiIiIiIiIiIiIiIiKIWk+JERERERERERERERERERBS1mBQnIiIiIiIiIiIiIiIiIqKoxaQ4ERERERERERERERERERFFLSbFiYiIiIiIiIiIiIiIiIgoasnCXQGKTk6nE6WlpdBqtRAEIdzVISIiIiIiIiIiIiIiIqJWiKIIvV6PzMxMSCTR1baaSXEKitLSUuTk5IS7GkRERERERERERERERETUDsXFxcjOzg53NQKKSXEKCq1WCwA4efIkkpKSwlwbou7DZrNh9erVuOqqqyCXy8NdHaJug7FHFB6MPaLwYOwRhR7jjig8GHtE4cHYIwoPm82GpUuXYvbs2e48XzRhUpyCoqnLdK1Wi7i4uDDXhqj7sNls0Gg0iIuL4wUjUQgx9ojCg7FHFB6MPaLQY9wRhQdjjyg8GHtE4dEUewCicmjk6OoMnoiIiIiIiIiIiIiIiIiIqBkmxYmIiIiIiIiIiIiIiIiIKGoxKU5ERERERERERERERERERFGLSXEiIiIiIiIiIiIiIiIiIopaTIoTEREREREREREREREREVHUYlKciIiIiIiIiIiIiIiIiIiilizcFSAiIiIiIiIiIiIiIuosURRhs9ngdDrDXRXqBJvNBplMBrPZDIfDEe7qEEUsqVQKuVwe7mp0GUyKExERERERERERERFRxLJaraioqIDRaGQSNQqIooj09HQUFxdDEIRwV4cooimVSqSkpCAuLi7cVQk7JsWJiKjNdpXvwjfHv4HJZsK9Q+5FfmJ+uKtERERERERERETdmNFoRHFxMaRSKRITE6FWqyGVSplMjWBOpxMGgwGxsbGQSDgKMFFHNPWcUV9fj5KSEgDo9olxJsWJiOicTtSfwBs738CPxT+65x2oPoBl05dBIvDClIiIiIiIiIiIwqOqqgpyuRy5ubmQSqXhrg4FgNPphNVqhUqlYlKcqBPUajW0Wi1Onz6NqqoqJsXDXQEiIuq6Ko2VeHfPu1h8dDEcomfXU0X6IpysP4k+CX3CVDsiIiIiIiLfasw1iFPEQSbhV19ERNHMbrejoaEBGRkZTIgTEfkgCALi4+NRUlICm83WrccY550BERF5cTgdmH9gPt7f+z5MdpPf9WrNtSGsFRERERER0bm9uu1VfHboMyilStw64FbcO+ReaOSacFeLiIiCwG63A3CNmUtERL41JcIdDke3Toqz3wkiIvLgcDrwyPpH8OauN1tNiANAnaUuNJUiIiIiIiJqgxN1J/DJwU/gFJ0w2U2Yt38erl1yLZYdXwZRFMNdPSIiChKOH05E5F/TMVIURXx68FPctvI2vPDzC6i31Ie5ZqHFpDgREbkZbUb8dctfPcYOb6KSqqBVaD3m1VrYUpyIiIiIiLqOgpoCr3kVpgr8ZfNfMOu7WSio9l5ORERERNQdzNs/D69sewV7K/di0ZFFmPXdLBhtxnBXK2SYFCciIoiiiM8OfoYpi6fg2+PfeiyTCBLc0PcGLJ++HMPShnksqzPXhbCWRERERERErSs1lPpdtqdyD25ZcQte3/56t/ryj4iIiIi6N1EUobPo8O0xz+/+T9afxIIDC8JTqTDgmOIUVPevux+/H/17jM8ZH+6qEFEr5uyc4/PkJxEkeOvytzA2eywAIEGZ4LGcLcWJiIiIiKgraS0pDgBO0YmPCj7C6lOrkRmTiQZbAwYlD8JTFz0FtUwdoloSEREREYWGKIqoNlXDYDP4XP5TyU+4/4L7Q1yr8GBLcQqqfdX78PiGx1FhrAh3VYjIj53lO/0+Dfb4iMfdCXEASFQmeixnS3EiIiIiIupKWibFx2ePR442x2u9Mw1nsKtiFw7XHsaSY0vw5q43Q1VFIiKikKmqqsKzzz6LYcOGISEhARqNBvn5+bj33nuxf//+cFfPrbCwEIIgYPz48eGuSkj06tXLPcYzUbBVmipbbdxWUFMAi8MSwhqFD5PiFHRmhxnri9eHuxpE5IevhPhlWZfhi2u+wO2DbveYn6BK8JhmS3EiIiIiIupKyhrKPKYn9Z6EpdcvxQMXPACFROF3u8VHF6PeUh/s6hEREYXMDz/8gL59++LFF19ESUkJxo0bh2uuuQZyuRwffPABLrjgArzyyisB29/48eMhCAIKCwsDVia1HRPtwbVgwQIIgoDnnnsu3FVpl0pjJSqNla2uY3facbD6YIhqFF5MilNIbCndEu4qEJEPNqcN28q2ecy7+7y78c6V72Bw8mCv9dlSnIiIiIiIuipRFL2S4pkxmVBIFfjd0N/h6+u+xqj0UT63NdlN+ObYN6GoJhERUdBt374dV199Nerr6/Hyyy+jtLQU33zzDRYtWoSDBw9ixYoViIuLw1NPPYW5c+eGu7rdztq1a3HwYPdIQlL4VBorffbi/PwlzyM/Id9j3o7yHaGqVlgxKU4hsbVsK+xOe7irQUQtHKg6AKPd6DFv1qBZftdnS3EiIiKKJl8f+RoXfXoRxi0ch42nN4a7OkTUSdXmaq+uHzNjM92fe8X3wodXfYgXLn0B8cp4r+1XnFwR9DoSEREFmyiKuPPOO2G1WvH888/jySefhEwm81hn6tSpWLp0KQRBwBNPPIFTp06FqbbdU58+fTBgwIBwV4OiWJWpymdC/P4L7sf0vtMxPG24x/zvC78PVdXCiklxCgmDzYASQ0m4q0FELbT88jc/IR8p6hS/67dsKV5rZlKciIiIIlO9pR4vb3sZRrsRNeYaPP/z83CKznBXi4g6obyh3GNaKkiRqk71mCcIAqblT8PKG1biN/1+47GsoLoAp3RMChARUWT77rvvcPDgQWRlZeGJJ57wu97YsWNx0003wWw24+233/ZYJggCevXq5XO7lt1IN40HvmHDBgBA7969IQiC+9VcVVUVfve73yE9PR0ajQbDhg3DRx991OrPY7fb8dZbb+HCCy9EbGwsYmNjMWrUKLz77rtwOBw+t6mursbjjz+Ovn37QqVSISkpCZMnT8bq1at9rt/08zY9SDBgwAAolUpMmzat1boBwLFjx/Dcc8/h4osvRnp6OhQKBbKzs3HHHXfgyJEjPrfx1dV583HVdTod/vSnP6F3796Qy+V4+OGH/e5//fr1EATB/WBD8//7lr9Dq9WKN998EyNHjoRWq0VMTAxGjRqFefPmQRRFv/8vdrsdL7zwAvLz86FWqzFw4EDMnz/fvd66deswYcIExMXFITExEXfccQeqq6u9ymvexf4nn3yCCy+8EBqNBmlpabjzzjtRUuI/h7Rs2TJMmjQJycnJUKlU6NevH5599lkYDIZW9/PZZ59h9OjR0Gq1SEhIcK+zYsUK3H333Rg4cCDi4uIQExODoUOH4h//+AcsFotXeXfddRcA4O9//7vH//GCBQsAnLt7dV/DC7T1d15ZWYnHHnsM/fv3h0qlQmJiIqZMmYKNG30/2F1tqva6LgaAeGU8JveeDAC4qtdVHssO1RzC8brjPsuLJrJzr0IUGAar98GJiMJHb9Vj4eGFHvNGZ4xudZuWLcWNdiO+L/wek3pNCnT1iIiIiIJqT+Uejxal5cZyFOuLkRuXG8ZaEVFnVJo8x0tMVidDKpH6XDdOEYenL3oa64rWocZc456/6uQq/G7o74JaTyIiomBauXIlAOCmm26CXC5vdd1bb70VixYtwnfffYfXXnutQ/uLjY3FnXfeiVWrVqG8vBw33ngjYmNjvdarrq7GpZdeiiNHjiA7OxvXXXcdzpw5g7vuugv33Xefz7IdDgemTZuGlStXIi4uDldeeSUAVxL2/vvvx5o1a/DVV19BIjnb/rOkpARjx47FiRMn0LNnT0ybNg2VlZX44Ycf8P3332POnDl45JFHvPbldDoxbdo0bNy4EePGjcOQIUOQnJx8zp//ww8/xKuvvopBgwZhxIgRUKlUKCgowMcff4xvvvkGmzZtwpAhQ9r63wmTyYRx48bh1KlTGDduHIYPH47ExES/66enp+POO+/EV199hYaGBtx5553uZSkpZxs/NTQ0YMqUKdi0aRNSUlIwZswYSCQS/Pzzz5g9eza2b9+O//znPz73MWPGDPzwww+4+OKL0adPH2zYsAF33303AECr1eKWW27B0KFDMXHiRGzduhUff/wxTp48iY0bN/oc5/yf//wn3nnnHVx22WW4/vrr8csvv+Cjjz7CunXr8PPPPyM7O9tj/T/96U+YM2cOVCoVRo0ahZSUFOzcuRMvvvgivvvuO2zYsAExMTFe+3n55Zfx4Ycf4tJLL8U111yD4uJi97J77rkHDQ0NGDx4MM4//3zodDps27YNTz/9NNauXYvVq1dDKnVdR06ePBl2ux0//fQThg4digsuuMBdTn5+fsvdtltrv/NDhw7hyiuvRElJCfr06YOpU6eiuroa69atw+rVq/Hxxx/j1ltvBQA4RScqjBWoNnk/kJCiTkGdvM49PaLHCKSqUz2un1ecWIHfn//7Tv88XRmT4hQyeps+3FUgomY+O/gZdFadx7xp+dNa3SZXm4s0dRoqTGe7XnnxlxdxYY8LW21hTkRERNTVnGk44zXvYPVBJsWJIljLLiLT1Gmtri+TyHBV7lX44vAX7nmrCpkUJyKiyPbrr78CAC688MJzrtu0TkFBAWw22zmT6L6kpKRgwYIFGD9+PMrLy/HPf/7TZyvzv/zlLzhy5Aiuv/56LFy4EEqlEoCrZft1113ns+w333wTK1euxPnnn48ffvgBaWmuc3tZWRkmTJiAJUuW4D//+Q/uv/9+9zb33XcfTpw4gVmzZmHevHnun2nz5s2YNGkSHn/8cVxxxRVeieri4mIolUocPnwYWVlZbf75p02bhv/7v/9Dnz59PObPnz8fd999Nx5++GGsW7euzeVt27YNF198MU6cOOHRstmfAQMGYMGCBVi/fj0aGhrcLZdbevzxx7Fp0ybMmjUL77zzjvvBhcrKSlx77bV47733cO211+Lqq6/22O7UqVPQarUoKChwJ6t//PFHXH755Xj66adhtVrxxRdf4MYbbwQA6HQ6XHLJJdi8eTPWr1+PCRMmeNXlvffew/LlyzF16lQAgM1mw1133YVPP/0UDz30EBYvXuxed9GiRZgzZw6GDRuGxYsXu/+2bDYbHnjgAbz//vt47rnn8Prrr3vtpynRPm7cOK9l//nPfzBx4kSPZLper8ett96K5cuX49NPP8Udd9wBAHjyySeRnp6On376CdOmTfPbGryj/P3OHQ4HbrrpJpSUlODNN9/Egw8+6H7IYPfu3Zg4cSLuvfdeXHnllUhNTUVhfSFMdpNX+T1ieiBWiEUd6tzzpBIppvSego8KzvbUsPLkStx3nu8HVKIFk+IUMg3WhnBXgYga6a16jxMeAFzZ80r0T+rf6nZSiRSPjHgET216yj2vzlKHF35+AW9MeMPnk39EREREXVGRrshrXkFNgbs7OSKKPFWmKo/pVE2qnzXPmtJ7ikdS/FjdMRypPYJ+if0CXj8iIgqPa9/ajEq95dwrdgGpWiWWPTimU2U0dVvdlEBudX+prnOl0+lETU0NevTo0al9+2MwGPDxxx9DJpNh7ty57oQ4AEyZMgU33XQTPv/8c6/t3nrrLQDAG2+84fHzZGRk4PXXX8d1112HuXPnupPiJ06cwPLlyxEXF4e5c+d6JPnHjBmD++67D3PmzME777zjs1X0yy+/3K6EOACMHu2758277roL8+bNw/r161FfX4/4+Pg2lzl37tw2JcTbqqKiAh9++CF69+6NDz74wOP/PzU1Fe+99x4uuOACvPfee15J8ab6NG+9PWHCBAwfPhy7du3CHXfc4U6IA0BcXBzuvfde/PGPf8SGDRt8JsVnzJjhTogDgFwux5tvvomlS5fim2++QUlJifv38I9//AMA8Pnnn3s8bNG0zbfffuturd+8xwDA1RrcV0IcgM+u8bVaLf79739j+fLl+Oabb9xJ8VDw9TtftmwZ9u/fj1tuuQUPPfSQx7Jhw4bh2WefxcMPP4xPPvkE9z14n9+EeIo6BWaz2WvZ1XlXe+QISgwl2Fu1NzA/UBfFpDiFDFuKE3Udnx781KuV+H1D2/YU2NW9r8baU2vxQ9EP7nnritdh+YnluLbPtQGtJxEREVGwnNJ7jxtcUF0QhpoQhZfD6YDZYUaM3LvLyUjTsqV4y/HEfbkg7QL00PRAufHsuIurTq5iUpyIKIpU6i04o/NOCEWrprGhfY0R7W9dAEFt7LJr1y6YTCZceuml6Nmzp9fyW265xSspXlxcjKKiIqSnp+Pyyy/32uaaa65BQkICDh8+jMrKSqSmpmLz5s0AgKlTp/pMKs+aNQtz5szBpk2bvJYJgoBrr+3Yd5sGgwHLli3Dr7/+ipqaGthsNgCuFu2iKOL48eMYPnx4m8rKyMjAiBEjOlQPfzZs2ACbzYbJkyd7JMSbDB06FFqtFtu3b/daplAofCaW8/LysGvXLkycONFrWVOr+bKyMp/1ufnmm73mJScnY+LEiVi6dCm2bNmCm266CRUVFdizZw8GDhyI/v29G3OpVCqMGDECy5cvx9GjR73W8dcDQZOjR49i5cqVOHbsGBoaGuB0Ot0xcfTo0Va3DSR/v/M1a9YA8J3AB1wPegDA9u3bcbfjbq/laZq0Vnt3HZg0EL3je+Nk/Un3vJWFK9EXfdtT/YjCpDiFTIMtMC3FjTYj/rP3PzhSewTX5l2Lq/O8n1xqYnfa8X3h9wCACTkToJFrAlIHokjW0VbiTQRBwDOjn8Guil0eY++9vPVljEwfifSY9IDWl4iIiCgYTum8k+JHa0P3xQdRV7C7Yjee/elZnNKdwqDkQfj90N9jXPa4iO0BquWY4m1pKS4RJJjcazL+V/A/97zvTn6HB4c9GLH/D0RE5ClV650E7KoCUdeUlBQcPnwYFRUV51y3stJ17hQEodVxqzurtLQUAHwmxP3NP3PGNdyRr67YAVedc3NzUVdXh9LSUqSmprr342+bpvlN6zWXlpbmM2F8LuvWrcPNN9/s/r/0Ra9ve4NBf/9HnVFYWAgAePfdd/Huu+/6Xc9k8m5pnJ6e7tUCG4C723FfLeubllksvntoyM31PWRVy9/PqVOue7aDBw+e87qsqqrKKynu7/9SFEU89thj+Pe//+334ZH2/M46y189m35vM2fOxMyZM/1uX1VVBavT6jFPKpGe81pYEARM7T0Vb//6tnvemqI1yBPz2ljzyMOkOIWMwWoISDnzD8zH/P3zAQA/lfwEESKuybvG57p/2/I3fHv8WwDAmKwxePuKtyERvA/gRN3Jpwc/hd7qeVJvayvxJsnqZDw7+lk8sv4R9zy9TY+/bfkb/nPlf/jlEREREXVpdqcdxfpir/k15hoYbUY+TEvdws+lP+OPP/7R3c1iQXUBHlz3IAYnD8afR/4Zw3u0rTVTODlFJ8x2MywOCywOC/ZWenb3mKY5d7exgKsL9eZJ8dOG0zhQfQDnpZwX0PoSEVF4dLY78kgzdOhQ/PTTT9i5cydmzZrV6ro7d+4EAAwePLjN44k7nc5216kp8diR7wzbsk3Ldfxt0zTf13KVStXuuhkMBsyYMQPV1dV49tlnccsttyA3NxdqtRqCIODWW2/F559/3qZW+52px7k4HA4Ari63W46lfi7n+v8P5PfALf+fmuqdkZGBq666qtVtk5OTveb5+79cuHAh5syZg+zsbLzxxhu4+OKLkZqaCrlcDqvVCqVS2a7fWVu0Fjf+6tn080+ZMqXV4RAGDBgAm8PmMS9e0bbu+q/ufbVHUrzOUocTwok2bRuJmBSnkDHYApMU/+HUDx7TT216CkNThyJHm+Mx32Q3YeWJle7pzSWbse3MNozO8D3GB1F34KuV+MTciW1uJd7clblX4pq8a7D8xHL3vC2lW/DlkS8xo/+MTteViIiIKFhO6U7B7rT7XHbacJrdJlPUW1e0Do9teAw2p81r2YHqA7hz1Z24oe8NePTCRxGvbPv4l8F0SncK/9j6DxytPQqzwwyz3eyz/s211l1kc4OSB6GntieK9EXued+d/I5JcSIiikhTpkzBO++8g6+++gqvv/56q8nuzz77DAAwefJkj/lyuRwGg+/v84uLvR8uPZfMzEwAZ1v+tlRUVOQ1Lz3d1RvlyZMnvZa13C4jI8NjP/62aWp527R+Z23atAnV1dW48cYb8fzzz3stP3GiayQXm8YDHz9+PObMmRPm2rj+Dnwl55t+n02/x6Z6p6enY8GCBQHb/5IlSwC4Ws5fc41ng8uO/s4UCgUABDRumn7+++6775xdwTfvAh0A5NK2PeSSE5eDIalDPB4u3W/d386aRo6objKr1+uxadMmvPHGG7jjjjswePBgyGQyCIIAQRD8dqHRHkVFRXjppZcwevRoZGZmQqlUIicnB+PGjcObb77ZapcZ0Vq2P4FIipvsJhyrO+Y1/8lNT3rdDNeaa2EXPb/oWnR4UafrQBTJfLUS/92Q33W4vCdHPYk0tedTav/c8U+fLa/CxSk64RTb/wQrERERRa9DNYf8LivRl4SwJkSht/LESjy6/tFzJpQXH12M65Zehw3FG0JUs9Y9s/kZbCndgkpTJfRW/TnrD7S9pbggCJjc2zMZsKpwFe8jiIgoIk2dOhX9+/dHSUkJXn31Vb/rbdy4EV999RUUCgX+8Ic/eCzLyMhAdXU1ampqvLZbvXq1z/KakoJ2u/fDpxdeeCFUKhW2bt3qMzn4xRdfeM3LyclBz549cebMGaxbt85r+YoVK1BbW4v+/fsjNdXVTXTTGMsrVqxAXV2d1zaffPIJAOCyyy7z+TO0V21trbuuLR07dgy7du0KyH7aorX//wkTJkAqlWL58uXu1sfhtHDhQq95NTU1WL16NQRBwMUXXwzAlRTu378/9u7d2+rDEe3V2u9t0SLfOaTW/n+Bsw9aHDlyxGvZ4cOHfT74cS5XXnklAGDp0qXnXLdlS3GFRNHm/UztPdVj+rD9cJu3jTRRmxTv378/4uPjMXbsWDzyyCP4+OOPUVBQENCAf+uttzBgwAA888wz2Lp1K8rKymC1WnH69Gls3LgRDz/8MAYMGOA3iKKx7NYEovv0I7XeBxQA2Fu5F//Z8x+PeXWWOq/11hWtQ4Xx3GOpEEWjQLYSbxKvjMffL/27xzyT3YRnf3o27F8giaKIl355CUM/Goprl1yLfZX7wlofIiIi6joO1/i/yT9tOB3CmhCF1tdHvsaTm56EQ/T8buTSrEvRU+s9lmGNuQYPrHsAr257FVaH1Wt5KO2vbl+LFaVU6dWjXGum9JriMV1hrMCu8tB9kU1ERBQoEokECxYsgFwux1//+le8+uqrXnmR7777DtOmTYMoinjllVe8GhCOGzcOAPDCCy+454miiJdffhlbtmzxud+m1r2HD3tfa8fGxuK2226D3W7HH//4R4+xplevXu03F/HAAw8AAB555BGPhnxnzpzB448/DgB48MEH3fPz8vJw9dVXQ6/X449//CNstrOJwp9//hnvvvsupFIp7r//fp/7a69+/Vw9TC1evNijfnV1dbjnnns89h9srf3/Z2Vl4be//S2OHj2KWbNmoaqqymudLVu2YOXKlV7zg2HRokX4/vvv3dN2ux2PPPIIGhoacN1117lbSAPAM888A4fDgRtvvBH793tfDx4/fhz//e9/27X/pt/b+++/79FN+qZNm/D666/73Ka1/18AGDlyJDQaDb777jv3sAQAUFlZiXvuuadDww785je/wYABA7BgwQK8+uqrXn9PVqsVixcvxp69e7weGG1rS3EAmNxrMqSC1D1tQ+j+bkMtapPiR44cCXif/809++yzeOihh2Aymdzz8vPzMW7cOOTn57vn1dTUYObMmZg/f37Ul30ugWgpXlBd4HfZB3s/wPYz293T9Za6Ga8HAAEAAElEQVR6r3UcogOLjy7udD2IIlGgW4k3GZM1Br/p9xuPeTvLd+LTg592uuzO2Fe1D18cdj1lWqQvwu/X/h6F9YVhrRMRERF1Da21FD+tZ1KcotPHBR/juZ+fgwjP70pu7Hsj3r78bXwz7Rs8MfIJaGQar20/OfgJZn03C2WGslBV14PNYfM75IEvAgQ8OOxBxMhj2rxNfmI+8hPyPeatKlzV5u2JiIi6ktGjR+Pbb79FXFwcnnzySWRmZmLatGmYOXMmBg0ahKlTp6K+vh4vvPACHnnkEa/tn3jiCajVarzxxhsYNmyYOzn3wgsv+E0oN3XvfOutt+Kmm27C7NmzMXv2bPfyV155Bfn5+ViyZAn69u2LW265BZdffjmmTJmC//u///NZ5sMPP4wpU6Zg79696Nu3L2644QZMnz4d/fr1w8GDBzFt2jT8/ve/99jmvffeQ+/evfHRRx+593PllVfisssuQ0NDA1577bV2j6vtz4gRIzBx4kQUFRWhX79+mD59OqZPn47evXujtLQU119/fUD20xZN//9XXHEFbrnlFsyePRtPPvmke/ncuXMxYcIEfP7558jLy8PYsWNx8803Y/z48cjOzsall17qtxeAQLv33nsxZcoUjB8/Hrfeeiv69euHjz76CJmZmZg7d67Hurfffjv+/Oc/Y/fu3bjgggswcuRIzJgxA5MnT8bAgQORn5/vtc25PPTQQ4iJicE777yD8847D7fccgvGjh2LcePG4b777vO5zejRo5GWloavvvoK48ePx913343Zs2e7HxKJjY3FY489BrvdjjFjxmDKlCmYMmUK+vXrB1EU3a3f20Mmk2HJkiXIycnBk08+idzcXEyePBkzZszAxRdfjB49euDGG2/EkWPejUnlkrYnxZPVyRid2T2GHY7apHiTmJgYXHLJJXjggQcwf/58r7ExOmLx4sV48cUX3dODBg3Cjh07cPToUaxfvx5Hjx7Fjh07MGjQIPc69957L7Zt2xa1ZbdFMFuKA4AIEU9tesqdDPeVFAeAr4581a6baaJooLPqAt5KvLnHRjyGrNgsj3lv7noTJ+rDN27O4VrPp/bqLfX4/Q+/R43Zu9snIiIi6j5EUfS6TmiOLcUpGr2/9328tv01r/m3D7wdf7v4b5BKpJBJZLh90O34Zto3GJ8z3mvdguoC/O6H34WlxbjRbvSa958r/4Ol1y/Fdzd8hx9n/IifbvkJW2/dirU3rcUvt/6COwff2e79tOw6cnXhan5/QEREEWvy5Mk4evQonn76aWRkZGDdunX49ttvYTabMXv2bOzevRvPPPOMz20HDx6MdevWYfz48Thy5AjWrFmDPn364Oeff8bIkSN9bnPDDTfg3//+N7Kzs7Fs2TLMmzcP8+bNcy9PSUnBTz/9hNmzZ8NisWDp0qWorq7GBx98gD//+c8+y5RKpfj222/x5ptvIi8vD99//z1Wr16N/v374+2338ZXX30FicQzzZWVlYXt27fjT3/6E2QyGRYvXoydO3fiiiuuwPfff49HH320g/+jvn3zzTd4+umnkZqa6m4lfPPNN+OXX35BQkJCQPfVmoceegjPPPMMYmNj8fXXX2PevHke3dJrNBqsXr0aH374IYYPH479+/djyZIlOH78OPr06YPXXnsNjz32WEjq+thjj2H+/Pmor6/HkiVLoNPpMGvWLGzduhU9e3r3XvTqq69i7dq1uO6663D69GksXboUu3fvhkajweOPP96hluLbt2/Htddei6qqKnz77bcwGAx47733/LYUV6lUWLFiBSZOnIhff/0VCxYswLx58zy6S3/uuefw+uuvIzs7G2vXrsX+/ftxzz33YM2aNe7u19trwIAB+PXXX/Hcc88hLS0NmzdvxooVK1BZWYmxY8di/vz5uGy853AAEkECmUTWrv1c3fvqDtUv0ghiMJtTh9Gnn36K4cOHo3///h4Hxd/+9rf43//+BwDIzc1FYWFhu8q12WwYMGAATpxwJXqys7OxZ88eJCUlea1bU1ODIUOGoKTENSbdZZddho0bN0Zd2b7odDrEx8dj4LsDIVW7ul3IT8jHkuuXtKuclh5d/yjWnFrjnlZIFLA6PW/Ir+x5JeaMn4OFhxfipa0v+Sxn7oS5mNBzQqfqQtQV2Ww2rFy5ElOnToVcfvZpsHf3vIt3fn3HY92vr/sa/RL7BWzf289sx93f3+0xb0jqEHw85WNIhNA/g/XB3g8wd7f3U4JDUodg3lXzoJKpQl4nil7+Yo+IgouxRx1RYazAFV9e4Xd5Xnwevpn2TQhrFHkYe5FDFEXM3T0XH+770GvZvUPuxQMXPABBEHxut+jwIry2/TWve+6XL3sZ1+RdE7Q6+3Km4QwmfjXRY96WW7ZAq9AGdD/FumJMXeKZGP/Plf/BpVmXBnQ/HcG4IwoPxl7XZzabcfLkSfTu3RsqFb/riRZOpxM6nQ5xcXFeSW+KXOPHj8eGDRtw8uRJry77qeNqzDUePTqpZCr0Sejjsc65jpUNtgaMXzgeZocZDpMDB39/EPX19YiLiwt6/UMpao8mt912GwYOHBjwA+Znn33mTiwDwJw5c3wmlgEgKSkJc+bMcU9v2rSp1eRypJbdVjqrDoX1hfi59Gd8d/I7fHbwM7zz6zt4bftrePGXF/HZwc9gc7Q+VkHLp8P/MOwPuCj9Io95PxT9gK+Pfu23pTgALDyysOM/CFGE0Vl1+LjgY495E3MnBjQhDgAj00fi9oG3e8zbW7kXS48tDeh+2qrWUutz/t7KvfjL5r+EfcxzIiIiCo/Wuk4HgBJDSVCH4iIKFVEU8er2V30mxB8e/jAeHPagz4Q4AAiCgJkDZuKzqz/zWhaOcbZ9tRRXy9QB309OXA7OSz7PY953J78L+H6IiIiIiAKlZV6tPV2nN4mRx2BCzgQkKBMwQj4iUFXrcqI2KR4sX375pftzZmYmpk+f3ur6N9xwAzIzM31uHy1lt1WFsQLXLr0W9665F3/e+Ge8vO1lvLvnXXxc8DEWHl6Il7e9jL9s/kurZZhsJo/pWHksXhrzEhKUCR7zX932KnZX7vZbzpaSLSjWF3f4ZyGKJL7GEr9vqO+xUTrroeEPITcu12Pe/P3zg7Kvc6k1+06KA8CaU2swZ8ccv8uJiIgoeh2u8ew6veUQMBaHBVWmqlBWiSjgHE4H/v7z3/HpwU+9lj016incc/49bSqnf1J/PDTsIY95uyv832sHS8vvAhQSRbu7hGyryb09h91bW7Q2LF3GExERERG1hc3pmRRXSDvWVfuTFz2J76d/jymaKYGoVpfEpHg7mEwm/PDDD+7pyZMnQyZr/SZMJpNh0qRJ7ulvv/02qsoOtFWFq7CldIvf5Q22Bo9ptUyNHjE98PdL/u4x3+ww46eSn/yWI0LEV0e+6lxliSJAqFqJN1HL1Pjj8D96zCvUFcJo827Z0WTj6Y14/ufnseToEq8TeGf4ayne5H8F/8Pnhz4P2P6IiIgoMrRsKT4mawwUEs8vDTiuOEUyURTx1y1/xddHv/aYL0DA85c8j1sH3tqu8i7K8Oyd7VjdMdSZ6zpbzXZp2VJcI9cEbV+Te02GgLMt6A02AzaXbA7a/oiIiIiIOqPlcEcdaSkOAEmqpA5vGymYFG+HgoICWCwW9/Sll7ZtTKnm6xUVFaGmpiZqyj6X5jeSbfXenvf8LvN3I3x5z8sxs//MVstVST3HSVh6bCmf9qaoF8pW4k0uy7rMa94p3Smf6/5Y9CMeWPsAvjzyJf665a+4feXt0Fl1AalHyy/qpvaeCpng+UDQK9te4RdcRERE3czRuqMe0wOSBiBL69la/LSeSXGKXD+V/oRvj3s+2C4VpHjlslcwvW/rvcb5MjBpoNf99OHaw37WDg6T3bOleDC6Tm/SI6YHhvcY7jFv1clVQdsfERERUXexfv16iKLI8cQDrGX36R1tKd4dMCneDgUFBR7Tffv2bdN2LddrWU4kl30uV/W8ymtevDIeefF5GJ42HFf0vMJr+a6KXSg1lPosr2VrU43s7NPhj414DPkJ+X7r8pt+v/GYrjHX4IdTP/hZmyjy+WolflXuVUFrJd5EJVMhMybTY56vpLjRZsRLW1+CiLNjdhZUF/js4rE5h9OBn0t/xsbTG1t9sKXOUucxPanXJDx3yXMe85yiE89sfsbrSzYiIiKKTk7RiRJ9ice8vPg8ZMdme8xjUpwi2dqitR7Tcokc/xr/L0zNm9qh8uRSOXLicjzmlRhK/KwdHF4PyMuC11IcAKb08uwycv3p9a32fkVEREREFA5O0Qm70+4xL9pbe3dGcAZgilKFhYUe0z179mzTdrm5nuPrFhYWYsyYMVFRdhOLxeLRGl2nc7X0fHzY45jpnAm9VY/MmExkxmYiVh7rsa3NYcPEJRM9Wod+eehL3D/0fq/9tLwRVgpK2Gyup2CkkOKlS17CrFWzvLqLAIDzk8/HiLQR2FGxwz3vi0NfYGLORJ8/E1EkaooHm82G5YXLvVqJzx48271OMPXU9kRpw9mHW07UnoAt23O/7+x+B+XGcq9tVxxfgXsG3gNB8N3TxAtbX8CS40sAAFq5FhNzJ2LWgFleY5m3HFNcK9PisozLcKr+FD7Y/4F7frW5Gl8d+go397+5fT8kUTPNY4+IQoexR+1VYazwuldIV6cjQ5PhMa9YV8y/q1Yw9rq2bWXbPKbvPf9ejM0Y26nfV1ZMFo7Wnu1loai+KKS/f73Z875GJVUFdf/js8bjZeFlOEQHAFdL9XWF6zCp16RzbBk8jDui8GDsdX02mw2iKMLpdMLpdIa7OhQgoii63/l7JfLPV6MxmSDzihun0wlRFGGz2SCVSv2WF+3nOybF26Ep0dskISGhTdvFx8d7TOv1eq91IrXsJi+//DL+/ve/e83fsH4DNBrXE9zHGv/50g/9sANnk9X/PfBf2AvtyJefbfntFJ1erTl3/LwDxdJij3lXKa/CctNyr30c2n0IfcQ+HvvZXbkb85fNRw9pD78/G1EkWrNmDdYaPVuIDJANwJEtR3AER4K+f9EoekxvObQFWcVnuyWtcFTgY/3HLTcDAJzSn8IHyz5Atizba1mhvRBLDEvc03qbHouPLcbSY0sxUjESE1QTECuJhU20eT1Es+eXPSiVlqKn2BN9ZH1w3H7cvez93e8j9lgsJAI7UKHOWbNmTbirQNQtMfaorU7aT3pMyyDDtnXboLd43uvsLdqLlbUrQ1m1iMTY63p0Th2K9EUe85zHnVh5qnN/z1aT55dt249sx8qS0MXITstOj2mjzoiVK4O7/97S3jhmP/sdxkfbPoKjwBHUfbYF444oPBh7XZdMJkN6ejoMBgOsVg6VGW1ay0kQEWB2mj2mJZDAoDd4rWe1WmEymbBx40bY7Xav5d0Fk+LtYDB4/iGp1W0bw6rler4O5JFadpOnnnoKjz76qHtap9MhJycHEyZMQHJy8jn31au6F27//nb3tBNOLLYtxseXf4wcraubNqPNiL9++VeP7SZdPsmrm+Yp4hToNuqwsWSje55CosBvp/wWKqkKP3zzA6rN1e5lFRkVuGvEXeesI1EksNlsWLNmDSZOnIg1W9YAzXo1HDtgLKYO6ViXie1Vf7geW3dudU874hyYOsm1b1EUce/ae+HU+3/K82TySdx76b1e8x/48QHA+5wOJ5zYat2KA+IB3D/kfozLHgd847nO9VddjwRlAgAgvSId//fD/7mX1TnrkDgsEZdmXtqOn5LorOaxJ5eziyKiUGHsUXt9e+Jb4Jez0z3je+Lqq6+GpliD7zZ9555vUpgwdWporpsiEWOv61pXvA7YdHZaK9fi7mvuhlTivzVIW9QfrseWnVvc02Kc6L6+D4UzB84Ae85OZ6dlY+r44O7f/v/Zu+/4KOr0D+Cf2ZJk03sPBEKVqgKCICBWULEgoujZ2+npefYuZ2+nd+dPvbOcnl0EFGmioigWEBAQpEMKJIH0sqlb5vdHLpt8Z3aT3c3uzm7yeb9evl5+vzs7+03C7s7MM8/zHLRiwfoFjvF++36cdOpJiAmL8evrusL3HZE2+N4Lfs3NzTh06BCio6MRERGh9XLIR2RZRn19PWJiYlxWkyQiwNZiAxo6xuGGcMTGxqq2a25uhslkwtSpU7v8rLRYLFi6dKnLx0Mdg+IeUJYNMBjc+/UpD5iclR8I1X23Cw8PR3h4uNN9uHPAOCZ9DG4acxNe2faKY66utQ53rLsD7816D1HGKLRa1Hf6xUXEOd3/c9Oew6vbXsWG0g0w6oy4fvT1SIxKBABcMPgCvL69o3TyivwVuH3c7Yg0+rcnGVEgGY1GlDeXC3MZMRkBO4HrFye2aahornC89vKDy7G5bLOzpzl8Wfgl/nTsn5AblyvMb6vY5vwJ/2O2mPHs5mfx/K/PC/M6SYfEyETHxcATMk/AsMRh2F2127HN3379GwYlDkJ2jDpDnchd7n7vEZFv8b1H7iptLBXGOTE5MBqN6B8vtmEpayqDXWdHuF59jkMd+N4LPhUtFcJ4UMIgRIT3PEDQP058j5Q0lAT0b99ibxHG0WHRfn/90wachid+eQIW+/9KJ9st+L70e5w36Dy/vm53+L4j0gbfe8HLZrNBkiTodDrodKwA2Fu0l35u/9sSkXPtx6rtjHqj0/eMTqeDJEl9/vuMnyYeiIqKEsbNzc0uthQ1NYklv5X7CeV9+9INY27AKf1OEeb21+zHAz88ALtsV5VCBuAykB1pjMQd4+7AwnMW4v2z3se0nGmOx+YMmQMJHXeXmS1mrMpf5Ww3RCHtaIPYrzstMnBtAhIiEoRxdXM1ZFlGXWsdnt8oBqwzozLx9YVfI8rY8RkjQ8abO94UtrPLdjRYGoS5cWnjEKYLU72+XRaz0JMikoTsGEmSMHfIXGGbgroCXLTsIuyt9n95eSIiItLGoXqx9VJ7VSpnN8WVmEsCsiYiX6psqhTGyaZkn+w3KzpLGFc2V6Kqucon+3aHspWayeheBbyeiA2LxZSsKcIcrx0QERERUTBRBsWdXSunDgyKeyA6OloYNzaqg7TOKLeLiVGX2grVffuSTtLhiSlPYFD8IGF+TdEa/Hvbv9FoEddjkAww6jy/oyUrOgsnZZ8kzC3cu9DzBRMFMYvdorpIlRqZGrDXTwgXg+ItthY0WZvw8paXhfYFAHDvhHuRFpWGeUPnCfPLDywXLkYrPwMA4MkpT2L5+ctx1sCzulzPiZknqubOyTsH/WLEjPZ6Sz0W7uHnARERUW91sPagMG4PhkcZo1THL4frDwdsXUS+Ut4kVotKMaX4ZL9ZMVkwSGLVuX/++k+f7NsdyqB4pCEwld5mDpgpjDeUblDdeEBEREREpJVWm1hh2ajvu1ng7mBQ3AMpKeLJZGlpqYstRcrtkpPVd2qH6r59LcoYhX/O+CfiwuOE+Ve2vYJlB5cJcyajyet+IhcNuUgY76zciR0VO7zaF1EwqmiqgAxZmNMyUxwAfi75GR/t+UiYm5Y9DSf3OxkAcPkxlyNC31Ha0Spb8Z8d/3GMlVniQFtViIzoDDx90tP4zxn/QV5cntP1XDT0ItWcyWDCK6e+oppXXiwnIiKi3sFis2B/zX5hbkjCEMf/K7PFD5sZFKfQowyK+ypT3GQw4bTc04S5JfuW4Lfy33yy/+4ob5A1GfyfKQ60na90fi2bbMOaojUBeW0iIiIiou5YbMwU9wSD4h4YNmyYMC4sLHTrecrtlPsJ5X37Q05MDp6f9jz0kl6Yf3fnu8K4c6llT03JmoKMqAxhjtmh1JuUNZYJ4zBdmOpmE3+KNkbDoBMzSR5d/6hQ1jxcH457J9zrGCeZkjBnyBzhOZ/u+xTljW0X9pwFxTt/DoxPH49PzvkEfzn+L0Jw/cTMEzEqeZTTdfaP7Y+HJj4kzCnLqhIREVHvcLD2IKx2qzA3NHGo4/+zoxVBcWaKUwiqaBR7ivsqKA4Atx9/uxAgliHj8fWPw2a3+ew1XFFlirtopeZrkcZITM2eKsxtPro5IK9NRERERNQVm90Gmywei3tTXbkvYVDcAyNGjBDGv/76q1vP67xdWFgYBg0apNomVPftLxMzJuLOcXd2uU1PyqXpdXpcOORCYW5V/irUttR6vU+iYFLWJAbFUyNTva6s4A1JklQlSJXl3K8bdZ0qI+vKEVcKwfRWeyv++/t/AaiD4hH6CFXg3ag34uqRV2PJuUvwxzF/xJ+P+zOenfpslz/76JTRwvhow1G02Fq6+QmJiIgo1Oyp3iOMM6MyERsW6xirMsUZFKcQVNEkBsVTIn1TPh0A0qPS8ccxfxTmdlXtwid7P/HZa7jSaNUmUxwAJqRPEMbbyrcF7LWJiIiIiFxR9hMHWD69OwyKeyAnJwcDBw50jL/77ju3ntd5uylTpkCv16u2CdV9+9Olwy/FuXnnuny8pz3ELhh8gdATrdnWjGUHlnXxDKLQcbThqDBOiwpc6fR2zkqot+sf2x9XjbxKNZ8ela563y/cuxA1zTUwW8zCfFfZITkxObhp7E24dtS13WbI58TkCGMZMorri7t8DhEREYWe3VW7hXHnLHEAyIrOEsbFZh4PUGix2q2qG1F91VO83WXDL8PAuIHC3D+3/NPvfba16ikOAGNTxwrjYnOxqjIXERFRsKqoqMBDDz2EY489FvHx8YiMjMSgQYNw/fXXY8cOthPVUkFBASRJwvTp07Veik9deeWVkCQJa9eu1XopKrm5uQFNHPM3ZT9xg84AncSwb1f42/HQ+eef7/j/tWvXoqioqMvti4qKhODynDlzXG4bqvv2F0mS8NCkhzA6ebTTx3taLi3ZlIwZ/WYIc+/tes9piWaiUHPILJYAV17kDYSuguL3n3A/wvTO+5tcM/Ia4cu7ydqE93a9p+ojGG2M9sk6o4xRSIxIFOZYQp2IiKj32Vu1VxgPSxTbQznrKS7Lst/XReQrFU0VkCH+m00yJfn0NYx6Ix6c+KAwV99ajxc3v+jT11HSqqc4AOTF5anatwWqlzoREVFPfP311xg8eDAef/xxFBcXY9q0aTj77LNhNBrx+uuvY+zYsXj66ae1XmbI622BVgBYsGABJEnC22+/rfVSqAutdjEo7up6O3VgUNxDV111FXS6tl+b3W7HY4891uX2jz76KOz2th660dHRuOiii3rdvv0pXB+OF09+0end7b64M3ze0HnCuNhcjAU/LeDFLwp5yswm5UXeQFCWT293Ru4ZODHzRJfPy4nNwawBs4S5D3Z9gCONR4Q55YWpnlBmixfVd33jEBEREYUWWZaxu1qRKZ4gZoorj5caLA2oaanx99KIfObfv/1bGOslvermT18Ynz5edby+9MBSbCnb4vPXalfeVC6MY8NjXWzpe3qdXvV5UdpQGrDXJyIi8sbGjRtx1llnoba2Fk899RRKSkqwdOlSLFy4ELt27cKKFSsQGxuL++67D//85z+1Xi4RecFiE8uns5949xgU99CIESNw2WWXOcZvvPEGXn/9dafbvvbaa3jzzTcd4zvvvBPJycm9bt/+lhqZir+f/HfVGzomLKbH+x6fPh5jUsYIc18UfIHP9n/W430TaemwWeyBqQz6BoKzTPFIQyTuGndXt8+9dtS1wrjeUo//bP+PuK8eVovoTHkRnBe5iIiIepejjUdR21IrzCnLp6dFpgntlQD2FafQ8WXBl1i0d5EwNyZljN/KJ9457k7VTaqPr38cVrvV569V31qPutY6YS7QlbCUNxco10NERBRMZFnGFVdcgdbWVjz66KO49957YTCIx7mzZs3CZ599BkmScM8996CwsFCj1RKRt5Q9xZkp3r1eGxR//PHHERERofrv3XffdWxTWFjodJvrrruuy30/99xzGDBggGN8/fXXY/bs2fjggw+wdu1afPDBB5g9ezZuuOEGxzbjx4/HXXd1HwgK1X372+iU0Xhk0iPC3PSc6T3eryRJePqkp1UB9nd2vtPjfRNpxS7bUdJQIsxlRwdHpvhNY29yq795XnweTu13qjBX1iT27fNV+XQASDWlCuOKpgqf7ZuIiIi0p+wnHm2MVgXVDDoD0qPShTnljYZEwehAzQE89ONDwpxBMuDPx/3Zb6+ZEpmCm8feLMztrd6LD3d/6PPXKjGL5zYSJGREZfj8dbqizExX3mRDREQUTFatWoVdu3YhKysL99xzj8vtpk6dirlz56K5uRkvv/yy6vGGhgY89dRTOO644xATE4Po6Ggcc8wxuO2225wG0VetWoWzzz4bqampCA8PR79+/XDeeedhxYoVjm3Wrl0LSZJw5ZVXOl2Tq37UkiQhNzcXra2teOSRR5CXl4eIiAgMHDgQDz/8MJqbm1X72r9/PxYsWIBJkyYhPT0dYWFhyM7OxuWXX469e/eqtu/8OjabDc8++yyGDBmC8PBw5OTk4J577kFLS4vqZ2n/XUiS5PgvNzfX6f5daWpqwr333ov+/fsjPDwcgwYNwjPPPOOyom15eTnuvPNODB06FBEREUhISMDMmTPx/fffq7aVZRkffvghLr74YgwZMgRRUVGIiYnBhAkT8MorrzgqBrfLzc3FX//6VwBtFYg7/1w97RN+6NAh3HDDDY6fMzU1FRdccAE2btzodPsVK1bg6quvxvDhwxEbG4uoqCiMGTMGTz75pPC36MxqteKpp57C4MGDHf9GHnroIbS2tjrdPpQpy6czU7x7hu43CU1Wq9Xlm6IzZ9tYLBYnW3ZITU3FypUrccYZZzh6cy9btgzLli1zuv3o0aOxfPlyREZ2n9UYqvsOhHMHnYu0qDR8d+g7jE0di9NzT/fJfrNjsvHIpEdw53d3Oub21+xHeWM5UiLVZduJgl2tXKvK0NAiU3xQwiBhPDhhMOYPn+/2868bfR2+Lvra5eO+zBRX9lpkUJyIiKh32VO1RxgPTRzqtO9fdky2EAhXtqQhCjbmVjNu+/Y2NFrFntv3TLgHx6Ud59fXvmTYJfhs/2fYW91xUfnlrS/jzNwzfXourXwfpkSmBDwLJi4sThgzU5yIiILZypUrAQBz586F0dh1kGz+/PlYuHAhVq1ahWeffdYxX1pailNPPRU7d+5EYmIiZsyYAaPRiP379+Of//wnxo4dKwS277jjDrzwwgvQ6/WYNGkSsrOzUVJSgm+//RY1NTU466yzevxzybKMCy+8EF9//TVOOeUUjB07FmvWrMFjjz2Gn376CatXr4Zer3ds/8Ybb+CZZ57BMcccg3HjxiEiIgI7d+7Eu+++i6VLl2LdunUYPXq009e69NJLsXz5ckyYMAFDhw7FunXr8Oyzz6K4uBjvvfceACA9PR1XXHEFFi1ahIaGBlxxxRWO53tSebe1tRWnn346fv/9d0yYMAHDhw/Hd999h3vvvRf19fV4/PHHhe13796NU089FcXFxcjLy8OsWbNQWVmJb775Bl9++SXeffddzJ/fcQ22paUF8+fPR0JCAo455hgcd9xxqKiowM8//4ybb74Zv/zyi9A7vP13vG3bNkyePBmDBnVc401PF28i9sT27dsxY8YMVFRUYNiwYbjgggtQVFSETz/9FMuWLcMHH3yAuXPnCs+55ppr0NDQgBEjRmDUqFGoq6vDL7/8ggceeABr1qzBl19+KfzNAeCSSy7BokWLEB0djTPPPBOyLOOFF17Ali1belXbXFmWVeXTmSnevV4bFPe3YcOGYfv27bjvvvvwzjvvwGw2q7ZJSkrCH//4Rzz00EMIC3P/H2Oo7jsQJmZMxMSMiT7f7yn9TkGUMQoNlgbH3IYjG3D2wLN9/lpE/lZmEzOqTQaTX3oJdmd6znRMzpyMH0t+RHpUOp6b+pxHd6sdk3QMpmRNwQ/FPzh93Jc9xVNM4kW78sZyF1sSERFRKNpTrQiKK/oDt8uOyQY6dVFh+XQKZrIs48EfH0RBXYEwPztvNuYNnef31zfoDHjghAdwxRcdF4AbLA14ftPzeGbqMz57HWVQXIsqWMwUJyKiULJ161YAwPHHH9/ttu3b7Ny5ExaLxRFE/8Mf/oCdO3fikksuweuvv46oqI7rcPv27YPNZnOM33vvPbzwwgvIzs7GihUrhEBzQ0MDNmzY4IsfC0VFRbDb7dixYwcGDhwIoC1jesaMGVizZg1efvll3HrrrY7tzzvvPFx33XXIy8sT9vPWW2/h6quvxm233YZvvvlG9TqFhYWIjIzEjh07HBnf+fn5OP744/H+++/jr3/9K/Ly8jBs2DC8/fbbWLt2LRoaGoTAsid+/vlnnHTSSdi7d68jmL5p0yZMmjQJL774Iu69915ER7dVzLTZbJg7dy6Ki4vxj3/8A7fccovjZt8tW7bgtNNOw/XXX49TTz0VqaltlTENBgMWL16Ms88+W4j3lJeXY9asWfjvf/+Lq6++GlOnTgUAPP/881iwYAG2bduGa6+91mVWvydkWcall16KiooK3HfffXjiiScc6160aBHmzZuHa665BlOnTkVaWkeV0X/961847bTThH9/9fX1mD9/PpYvX473338fl19+ueOxDz/8EIsWLcLAgQPx/fffIyurrTpYfn4+pk6disOHe8/5nU22wS6LWf7MFO9erw2KL1iwAAsWLPDra8TGxuLll1/G888/j7Vr16KwsBDV1dVITk5GXl4epk6dqurV0dv3HaoMOgPGp43H2sNrHXPrS9YzKE4haUvrFmGcF5fnNBPK34w6I1499VVUNlciLjzOqy/lm8bchB+Lf4QM9V18viyfrsxkYaY4ERFR76Isnz4scZjT7ZTBNgbFKZi9ueNNrClaI8wNTxyOhyY+FLDj/+PSjsPsvNn4/MDnjrmV+SsxZ/AcTMiY4JPXUJZPz4zO9Ml+PREbJgbFmSlORBRi/j0NMJd1v10wiE4FbviuR7uorKwEAEdQtCspKW3XxOx2O6qqqpCWloZffvkFa9asQXp6uiogDgCDBw8Wxk8++SQA4O9//7sq8zoqKgozZszw+mdRevjhhx0B8fb1P/fcc5g5c6YqKD5xovPkuquuugpvvvkm1q5di9raWsTFxam2eemll4QS6AMGDMBll12Gl156CevWrVMF2ntCp9PhjTfeELLLx40bh5kzZ2LZsmXYtGkTpk+fDqCt8u+OHTtwySWXCD8rABx77LF46KGHcNttt+G9997D7bffDqAtKH7BBReoXjclJQVPPfUUTjvtNCxdutQRFPeHtWvXYvv27RgwYAAee+wx4Vj1wgsvxHnnnYclS5bgrbfewr333ut47LzzzlPtKyYmBi+++CKWL1+OpUuXCkHxV199FQDw2GOPOQLiQNvf76GHHhJaB4c6ZZY4wKC4O/pW5NNPTCYTZs6cyX2HuImZE4Wg+IYjGyDLsibBRCJvVTRVYKdlpzB31sCelyfyliRJSDa5Xy5IaVTKKMwbOg8f7flI9Zgvy6cr12i2mNFkbYLJYPLZaxAREZE2zK1mHKo/JMwNTewiU7wT9hSnYLWhdANe2vKSMBcXHocXT34REYaIgK7l9uNvx7eHvkV9a71j7okNT2DR7EU9vjB3qO4QVhesFuayorNcbO0/ceGK8uktDIoTEYUUcxlQX9L9dr1Ee4lod0pFd96m/Tr411+3tTO89NJLVQFxpZKSEuzatQtJSUmYM2eOt0t228UXX6yaO/PMM5GQkIC9e/eivLzcEegHALPZjGXLlmHr1q2oqqpytM4tLS2FLMs4cOAAjjtObDljNBodQejOhgwZ4niuL+Xm5jr23d3rffXVVwCcB4sBYMqUKQDgtEf31q1b8eWXX6KwsBCNjY2QZRn19W3Hb/v27evRz9CddevWAQDmzZunKncOtFUmWLJkCdatWycExdvXtnLlSuzfvx8NDQ2w2+2Of7ed122xWLBhwwbodDpceOGFqte45JJLelVQXNVPXG9kLMsNDIoT/Y+yLPuRhiMorCtEblyuNgsi8sJnBz6DHR1lUyL0ETgn7xwNV9RzN4+9GZ8f+FzVJ9GnmeImdc/DisYK5MQGvhc7ERER+da+GvECj0EyIC/eeWaHMlP8SMMRWOwW3nFPQaWyqRL3rrtXKJcoQcKzJz2rScA4yZSEW4+9FU9seMIxd7D2IN7b+R6uGnmV1/stMZfgmi+vQXmT2NpoZPJIr/fpLWaKExGFuOjuM6aDhg/WmpycjD179qCsrPvs+PLytu9ZSZKQkJAAADh0qO2GUneyoT3ZtqcSEhIQExPj9LH+/fujuroaJSUljqD4N998g4svvtjxMzrTHhTuLCMjw2ngtr2EeUtLizfLdyk723lrGGevV1BQAKAtuDxvnut2ORUVHVUwW1tbceWVV+LDDz90ub2z34MvlZS03ZTSOfu+s/b59u2Aths27rzzTrz44osub/DovO7Kykq0trYiIyPDaVvgmJgYxMfHo6amxrsfIsi02sSgeJguuFohBysGxYn+Z2DcQKSYUoQT7vWl6xkUp5Bhs9uwZP8SYe7MAWeqshpCTXxEPC4dfile3/66MB+uD/fZa0QZo2AymNBkbXLMVTQzKE5ERNQbKEun58blujyOUGaK22QbjjQcQU4MjwkoONhlOx788UFVu58/HfsnnJh1okarAuYOmYsl+5ZgV9Uux9w7O9/BFSOugE7Seby/8sZyXPvltShtEDOxxqaMxdRs/5X2dMVZpjgryxERhZAeliMPNWPGjMGPP/6IzZs34w9/+EOX227evBkAMGLECEc/8XaefM/56jvRbrd3v5ETyqCp2WzGRRddhMrKSjz00EO45JJL0L9/f5hMJkiShPnz5+PDDz90GmwN9Pe7J6/X3st95syZXZbHHzaso13UCy+8gA8//BAjR47Ec889h+OOOw4JCQkwGo3Yu3cvhg4d6lZVAV/o7mft/PjHH3/s6FX/97//HZMmTUJKSgqMRiNaW1sRHh4urLv9//vK8ZnFLpZPN+p5I7c7GBQn+h9JknBCxglYfnC5Y25D6QZcPExdkoUoGP1Q/AOONB4R5uYNdX3HYCi5/JjLVUHx9Kh0n+2/vcx759Kq5Y2u7yIlIiKi0LGnao8wdtVPHGjLBo0xxqDe0pFxcLj+MIPiFDTe3fkufij+QZibnDkZ1466VqMVtdHr9LjvhPtw+aqOno4VTRWobalFQkSCR/uqbanF9V9dr2p7MDxxOP7vlP/zKsjeU8pMcatsRaO1EVHGrkvKEhERaWHmzJl45ZVXsGjRIjz33HOqYHdnH3zwAYC2EuTtcnLajn3379/f7Wt5si0ARwav2Wx2+nh75rkz1dXVqK+vd5otXlRUBKAtyxtoK9ddWVmJOXPm4NFHH1Vtf/DgQbfWG2zas8pvvPFGzJ49263nfPrppwDgCIx3FqjfQ2ZmJgAgPz/f6eOFhYUAOv5+QMe6X331VZx99tnC9s7WnZycjLCwMBw5cgStra2qbPH6+vpekyUOqIPizBR3T+DPJIiCmLKE+oYjG2Cz2zRaDZFnFu5dKIyHJw7HiKQRGq3Gt+Ij4vHwpIcd4+zobEzKmOTT11D2FVeWaSQiIqLQ5ElQXJIk9hWnoLWjYgf+vvnvwlyyKRlPTHlCk0CxkrOy5pVNlR7to9HSiJvX3Iz9NeKF9UHxg/Dv0/6tWRUsZ6/LvuJERBSsZs2ahaFDh6K4uBjPPPOMy+2+//57LFq0CGFhYbj55psd86eeeioA4P3330djY6OrpwNoC3YOHz4clZWVWLJkSZfbAh1Bz71796oeq6ysxK+//trl8z/++GPV3OrVq1FdXY3Bgwc7sqerq6sBdATtO9u/f3+3r+OJ9uCr1Wr12T5daf/bfPbZZ24/p6vfxcKFC1VzgO9/ppNOOglA29+vPdu9s/fee0/YDvB83UajERMmTIDdbsfixYtVj3/00UfeLT5IKcunM1PcPdqfNREFkRMyThDG9a31qnKLRMGoxFyCdYfXCXMXDb2oV5WLmTtkLt6d+S6eOukpLJ692Odf9MqguLIkJREREYUeq92q6ik+NHFol89R9mQ+XM+gOGmvvrUed313F6xyx4VJCRKenPIkkkxJGq6sg1FnVAWPK5vdD4pbbBbcvvZ2bCvfJsz3i+mH109/3eOMc1+KMkapbjyoba3VaDVERERd0+l0ePvtt2E0GvHwww/jmWeeUQUiV61ahfPOOw+yLOPpp58Wej1PmDABJ598Mo4cOYIbbrhBFRjfv38/du/uuGZ+7733AgBuu+02/P7778K2DQ0N+OabbxzjAQMGoF+/fti+fTuWLl0qbHfdddehrq7rm84effRRR19toK139t133w0AuOmmmxzzQ4YMAQAsWbJE6CleU1ODa665BhaLmGXbE+1Z0Hv27Olmy5678MILMWzYMLz99tt45plnVD9Ha2srlixZgu3btzvm2n8X//rXv4RtFy1ahHfeecfp6/j6Z5o+fTpGjRqF/Px8PPzww0LZ888++wxLlixBdHQ0rrzyStW6X3vtNWH7devW4bnnnnP6OjfccAMA4OGHH0ZpaUcbnsLCQjz22GM++VmCgSzLzBT3EoPiRJ2kR6UjNzZXmPu59GdtFkPkgUV7F0FGx8FBtDEaswbM0nBF/jE2dSzOHng2Io2RPt93iilFGLN8OhERUegrrCtEi61FmBua0HVQXJkpXmwu9vm6iDz1wuYXVFULrh11LSZl+rZ6Uk8lRiQK46rmKreeZ7PbcP8P9+PHkh+F+dTIVLx2+muqG1gDTSfpVCXUa1sYFCciouA1ceJEfP7554iNjcW9996LzMxMnHfeeZg3bx6OOeYYzJo1C7W1tXjsscfwl7/8RfX8d999F0OGDMF7772Hfv364bzzzsPcuXNx7LHHYsiQIVi/fr1j28svvxx/+tOfcOjQIYwZMwZTp07F/PnzMX36dGRmZqrKly9YsAAAMGfOHMyYMQOzZ89GXl4eduzY0WVJ8H79+mHMmDEYMWIEZs+ejTlz5mDw4MH47bffcPLJJ+NPf/qTY9tx48bhtNNOQ1FREYYMGYLzzz8f559/PgYMGICSkhKce+65PfwNd2hf8ymnnIJLLrkE1157reNGAV8zGAz49NNPkZOTg3vvvRf9+/fHmWeeiYsuugiTJk1CWloa5syZgwMHDjiec/fdd0Ov1+Pee+/FuHHjMH/+fIwfPx5z5851+rcHgNNPPx0RERF48cUXMXPmTFxzzTW49tprvQ6SS5KE999/H0lJSXjyyScxYsQIzJ8/H1OmTMH5558PnU6H//znP0hP72iXeeuttyIqKgqvvPIKRo4ciUsuuQRTp07FtGnTcOONNzp9nUsvvRTnn38+9u/fj6FDh+L888/HeeedhxEjRmDUqFHo16+fV+sPNla7VdUH3qhjprg7GBQnUlBmi28o3aDRSojcY7FZsGSfWJ5oVu4svwSOe7OUSDEozkxxIiIKRdXN1Xh8/eO49ZtbsenIJq2Xozll1afUyNRus02zoxXl05kpThqz2q1YcXCFMDc2ZSz+OPaPGq3ItaQIMWu9u/LpNrsNsizjyQ1P4ouCL4TH4sLj8Nppr6mqN2hF+bMV1RdptBIiIiL3nHnmmdi3bx8eeOABZGRk4JtvvsHnn3+O5uZmXHvttdiyZQsefPBBp8/NysrCxo0bsWDBAmRkZODLL7/E6tWr0draittuuw0zZswQtn/ppZfw6aef4pRTTsGOHTuwePFi5Ofn45RTTsE999wjbHvVVVfhrbfewvDhw/Hjjz/il19+wTnnnIOff/4ZCQmuj9UlScKiRYtw2223Yfv27Vi+fDni4uLwwAMPYMWKFTAYDML2S5cuxQMPPICUlBSsWrUKmzdvxsUXX4z169cjPj7eu1+qE7feeisefPBBREdHY/HixXjzzTf9Wqp72LBh2Lp1KxYsWIDU1FT88MMPWLFiBcrLyzF16lS89dZbjjLrADB16lT88MMPmDFjBg4ePIjly5cjLCwMixcvFsrmd5aZmYmlS5di4sSJ+OGHH/Cf//wHb775ppB97alRo0bh119/xXXXXQez2YxFixZhz549OO+88/Djjz9i7ty5wvZDhgzBxo0bcc4556CiogKff/45zGYz/v3vf7vMFJckCR9//DGeeOIJpKSkYOXKldi6dStuueUWLFmypNdUVW21i6XTJUmCQWdwsTV1JsnK2wmIfKCurg5xcXGoqKhAUlJwlHJz15rCNbht7W2OcZguDD9e8iMiDBHaLYqoC6sLVuPO7+4U5hbOWojhKcM1WlFo+mz/Z3jox4cc4yEJQ7B4trr/DJEzFosFK1euxKxZs2A08s5MokDhe0/t1m9uxbeHvgXQFlBaft5yxEfEa7soDb2w+QW8teMtx3hq9lS8fMrLXT7nx+IfcePXHZkHceFx+OHiH/y2xlDE915g1TTX4KSPTxLmPp39KQYlDNJoRa7dsfYOfFn4pWN83ajrcOtxt6q2q2+tx+PrH8fqgtWwyeq+kiaDCW+e/iZGpYzy63o9ced3d2J1wWrH+OKhF+OBiQ8E7PX5viPSBt97wa+5uRn5+fkYMGAAIiJ4/ba3sNvtqKurQ2xsLHQ6HSRJQv/+/YXS6UR9VU1zjVDRLEwfhsEJg7t8jruflRaLBYsWLcL8+fNRW1uL2NhYl9uGImaKEymMSx8n9Aprtbdia/lW7RZE1I2FexYK4/76/hgUH3wXyIKdsnw6M8WJiCjUHGk44giIA22lfX8o6dvB3D1VYnm/7kqnA+ry6bUttahr7bq3IZE/NVgbVHPpUelOttSesr+5s57iRxuO4sovrsTK/JVOA+JGnRH/OPkfQRUQB9SfH3ur92q0EiIiIiLqy5SZ4mF69hN3F4PiRApx4XE4JvEYYY4l1ClYHaw9iF+O/CLMjQ8fr9FqQpuyT2F1czWsdqtGqyEiIvLc14Vfq+Z+PfqrBisJDrIsq8qnD03sPiieEZUBCWJZveJ69hUn7TRY1EHxYG2VpOwpriyfvnDPQpzz2TkuA8o6SYdnpj4TdL3SAfXnx97qvapejkRERERE/maxW4Qx+4m7j0FxIicmZk4UxutL1mu0EqKuLdq7SBjHh8djpHGkRqsJbcqguAy52x6IREREweSrwq9Uc1vKtmiwkuBQ0VSBquYqYW5Y4rBunxemD0NaVJow17k0HVGgNVoahbHJYBKqmwUTZaZ4+3vQarfi8fWP47H1j6HJ2uTy+QsmLcBp/U/z6xq9NSRhiDA2W8woaSjRaDVERERE1FdZbGJQnJni7gvOsygijU3MEIPiO6t2oralVqPVEDnXbG3G0v1LhbnZA2fDIBk0WlFoS4hIUP3uWEKdiIhCRVljmdMA+P6a/X32OFYZyA7ThSEnJset52ZHiyXUD9cf9tm6iDylzBSPMkZptJLuOcsUb7Q04k/f/Akf7/m4y+feN+E+nD/4fH8ur0fSItMQGyb2VFS2aCAiIiL/kGWZ/cSJ/kdZPp2Z4u5jUJzIibGpYxGuD3eM7bIdm45s0nBFRGqrC1ar+lvOGTRHo9WEPp2kQ6JJvIhX3lSu0WqIiIg883Xh15DhvIzv1rKtgV0M2o6ftab8Hk+JTHE7u1bZV/ywmUFx0k4oBcXTI8Ve56UNpbjiiyvwY/GPqm3PzTsXr5/+Ou4cdyc+PvtjzB8+P1DL9IokSapscfYVJyIiIqJAkmVZnSmuY6a4uxgUJ3IiXB+OY1OPFebWl7KEOgWXhXsWCuMTM090O/uJnEsxpQhjBsWJiChUfFn4pcvHNpdtDtg6DtUfwkXLLsLkDyfj1a2vBux1nSlvFL/HUyNT3X5uVnSWMGamOGlJGRSPNARnP3EAyIvPE6ovyZCxu2q3sE2YLgxPn/Q0Hp/yOCZmTMQVI67AMUnHBHqpXnHWV5yIiIiIKFCU/cQBwKhnpri7GBQncuGEjBOEMYPiFEx2Ve7CbxW/CXMXDblIo9X0HsqgOMunExFRKChvLMevR391+fgX+V/gi4IvnJ48+5Isy7h33b3YVbULZosZr2x7BRuPbPTra3ZFeXNbsinZ7ecqM8XZU5y01GgVe4pHh0VrtJLuRRgiMChhkMvH48Pj8eYZb+KsgWcFcFW+MzSBQXEiIiIi0k6rTSydrpN00Et6jVYTehgUJ3JhUsYkYVxQV4AjDUc0Wg2R6JO9nwjjVFMqpuVM02g1vUdypHixvKKRQXEiIgp+a4rWuCydDrSVL77ru7twxqIz8MrWV1DWWOaXdWwp24LfysWb9hbvW+yX13JHTzLFlT3Fi83FsNltPlkXkadU5dMNwVs+HQBGJI1wOp8dnY13Z76LsaljA7sgH1KWTy+qK0KjpdHF1kREREREvqW82d2oN0KSJI1WE3oYFCdyYVjiMMSGxQpzG0o3aLQaog7mVjOWH1wuzM0ZMgcGncHFM8hdygwylk8nIqJQoCydPj1nOmKMMartypvK8eq2V3HGojNwx9o7sPHIRsiy62C6p/77+39Vc2sK16DJ2uSz1/CELzPFLXYLjwtIM6ry6cbgLZ8OACOTR6rmRiWPwnuz3kNuXG7gF+RDefF50Ekdl9JkyNhXs0/DFRERERFRX9JqFzPF2U/cMwyKE7mg1+kxIX2CMMcS6hQMVhxcIVxc1kt6XDD4Ag1X1HuwfDoREYWaiqYKbD4q9gw/b9B5eHrq00iKSHL6HKtsxZeFX+Lq1Vfjgs8vwOK9i2GX7T1aR2FdIb499K1qvtnWjC1lW3q0b28pg9jK7/muJEUkwWQwCXOH6g/5ZF1EnlJlihuDO1P8tP6nISas48ac6TnT8cbpbyDJ5PwzKZREGCLQP7a/MMcS6kREREQUKBabOlOc3MegOFEXJmZMFMYbSjf4NJuGyFOyLOPjvR8Lc9OypyE9Kl2jFfUuzBQnIqJQ803RN0JAO9IQicmZkzE1eyq+uvArPHPSMzg29ViXz99fsx8Lfl6Av236W4/W8e7Od12WcFeWVA8UZRuUlEj3g+KSJCErOkuYO1x/2CfrIvKUsjx3sAfF48LjsPDshfjT2D/h2anP4u/T/x702e2eUPYV31O1R6OVEBEREVFfw0zxnmFQnKgLJ2ScIIzLm8pxsPagRqshAraVb8O+arE830VDL9JoNb2Ps0xx3ghDRETB7MsCsXT6tOxpiDBEAGi7Y3zWwFl4Z+Y7WHTOIswZPEeV/dxu0d5FXmeL1zTXYOn+pS4f1yIobrFZUN1SLcx5kikOOO8rTqSFUCufDrS1ILhhzA2YOWAm9Dq91svxqaGJYlBceX5GREREROQvqkxxHTPFPcGgOFEX+sf2V2XgsoQ6aWnhnoXCODs6G5MyJ2m0mt5HmUFmtVtR21Kr0WqIiIjaWO1WvLTlJVy+6nK8sf0NR/C6sqkSG49uFLY9Pfd0p/sYmjgUC05cgK/nfo27x9+tKv/baG3EkYYjXq1v4d6FaLY1u3x8S9kWHKwJ7I2lzm5kTYtK82gfyr7ih83MFCdtNFgV5dMNwZ0p3tsNSRgijPdW7+WNtERERB6SZRnN1ma02Fq0XgpRyLDLdljtVmEuTM9McU8wKE7UBUmSVCXUGRQnrbTYWvBloZgNNnfoXOgkfpT7irPeqyyhTkREWvt0/6d47bfXsKVsC/7x6z/wdeHXAIBvDoml000GE6ZkTelyX7FhsfjDMX/A5+d9jmhjtPCYNxWRWm2t+HD3h8LccanHCWOzxYz5K+fj2yJ1z3F/2VW1SxhnRWchNizWo32oguIsn04aCbXy6b2dMihutphR0lCi0WqIiIhc++qrr3DeeechPT0dYWFhSEpKwjHHHINLL70Ur7/+OlpbW7vfSRcKCgogSRKmT5/u8XNLG0pxoOYA9lfvR0VTRfdP6MLatWshSRKuvPLKHu0nEN5++21IkoQFCxYI81deeSUkScLatWs1WReFBmWWOMBMcU8xkkLUDWUJ9U1HNqnuxiEKhKMNR1V3T87Om63Ranono96IhPAEYY5BcSIi0tqjPz8qjJfsWwJAXTp9avZUR+n07ugkHQbEDRDmvMnmXnFwheoi1j0T7lEF5xssDbj121vxr23/8rpMuyd2V+0WxsMSh3m8D/YUp2ChLJ/OoLi20iLTVDfZsK84EREFm0ceeQSnn346li5dipSUFJxzzjk45ZRTYDQa8eGHH+L6669HVVWVJmtrsjahurmj1VF5YzmrrhC5QdlPXK/T97pWRf7GoDhRN5SZ4maLGb9X/q7RaqgvU14M00t6p5nN1DNJJvF32tO7VYmIiHrC2c2YW8u3orq5GhuPKEqn93deOt2VgXEDhfGvZb969HxZlvHOzneEufHp43FM0jH464l/xTFJx6ie8/LWl3H72ttVxzW+tqtSzBT3Jiiu7Cle2VyJJmtTj9ZF5A2zxSyMQ6GneG8mSZKqr/ieagbFiYgoeGzatAmPPvoowsLCsGLFCmzfvh2LFy/GwoULsW3bNhw6dAiPPPIIwsPDNVlf54A40FYSWhns88SECROwa9cuPPXUUz1dmmaeeuop7Nq1CxMmTNB6KRTELHb2E+8pBsWJupFsSsag+EHC3PoSllCnwFNePI40RkKSJI1W03ulmMS+4uWNzBQnIiLt7Kvep5rLi8/DN0XfwCbbHHMmgwknZZ/k0b4HxotB8TVFa3DfuvuwpWyLW5kaP5X8hP01+4W5K465AgCQGpmK/575X5w98GzV89YUrcFlKy9DUV2RR+v1xL4a8ffmLEDfnayYLNVccX2x12si8kZBbQHKGsuEucSIRI1WQ+2GJohBcWef1URERFr59NNPAQAXXXQRZs2apXo8KysLCxYsQEJCguoxf5NlGeZWs2q+1eZ9UDwyMhLDhg1DRkZGT5amqYyMDAwbNgyRkbz5kVxTvk/YT9xzDIoTuUGZLb7hyAaNVkJ9GcsmBkZKpBgUZ6Y4ERFpaUvZFtVcuD4cXxaKpdOnZE2ByWDyaN/DEtTZ08sPLsflqy7HnGVz8NHuj5xesGr339//K4xzY3OFwHyEIQJPTnkSd427CzpJPPXcX7Mfl6y4BBtKfX9c3WhpRH1rvTDXL6afx/sxGUxINiULc4fNLKFOgbUif4UwToxI9KryAfmWsq84y6cTEVEwKS9vS/BISUnpZku1nTt34tJLL0VGRgbCwsKQlZWFyy+/HHv2uP9d19zcjDfffBPnnnsuBg4cCJPJhPj4eEydOhXvfvCuKtsVAK6/5npHT+3Vq1fjlFNOQf/+/aHX61FTU9Pl67nqKb5gwQJIkoS3334bv/zyC84++2wkJSVBkiRs3bpVeN6RI0dw7bXXIjs7GwaDAX//+98BAKWlpXj22Wcxbdo0ZGVlISwsDOnp6bjggguwceNG9WL+57fffsPZZ5+NuLg4xMXF4bTTTsPPP//scntXPcW3bt2Ku+++G8cffzxSUlIQHh6OgQMH4qabbkJJSYlqP537vDc1NeHee+9F//79ER4ejkGDBuGZZ55xeQN0RUUF7rvvPowcORJRUVGIj4/H2LFj8cADD6CyslLYVpZl/Pe//8XUqVMRHx8Pk8mE0aNH4/nnn4fFov77km8wU7znGBQncoMyKL61bCsaLY0arYb6KmVQPNoYrdFKejflxW/2FCciIi1tLduqmisxl6iCyafnelY6HQDGZ4zHuLRxTh/bV70PT2x4AjM+mYG//vxX7K3eKzy+p2oPfi4VL+pcPuJyVfBbkiRcPuJy/OvUfyEuPE54rK61Djd+dSMW7lno8dq7UtlcqZpT3vTmLmUJdfYVp0CSZRkrD64U5mYNmAWDzqDRiqjdkEQxKH6o/hCvERARUdDIzm47hl28eLEjQO6ONWvWYNy4cfjggw+QmZmJOXPmIDU1Fe+++y7GjRuHdevWubWfgoICXHvttdiwYQP69euHc889F2PHjsX69etxxWVX4OVnX1Y9x263AwA++OADzJw5Ew0NDTj11FMxfvz4HlfK/P777zFlyhQUFBTg9NNPx9SpU6HTdZy3lJeXY/z48VixYgUmTZqEmTNnOjK2ly5dinvuuQclJSUYNWoUzjvvPGRmZuLTTz/F5MmT8eWXX6peb8OGDZg0aRJWrFiBgQMHYtasWThy5AimTZuGn376yaO1P/3003jhhRdgs9kwefJkzJo1C7Is49VXX8W4ceOcBsYBoLW1Faeffjpee+01DB8+HCeffDKKi4tx77334qGHHlJtv3PnTowdOxZPP/00qqqqcOaZZ2L69OloaWnBk08+ie3btzu2tdvtmDdvHq688kps27YN48aNwxlnnIHy8nLcddddOO+88xx/T/ItVaa4jpninmJQnMgNx6cdD72kd4wtdovTrB0if2qwqsunk+8py6czU5yIiLS0pVx9zFlsLhZKp0foIzA1a6rH+zbqjPjXaf/CZcMvc3mHeZO1CYv2LsLcZXPx/q73HfPKXuKJEYk4Z+A5Ll9rUuYkfHjWhxicMFiYt8pWPLb+Mfx72789Xr8rlU1iUNxkMCHS4N1xk7KEOjPFKZB2V+1GUb3YZmDWAHUJVAq8vLg84SYgGbKqbQMREZFWLr30UkRERKCoqAiDBg3CFVdcgTfeeAO///67yyzhhoYGXHrppWhqasKrr76KzZs348MPP8SWLVvwwgsvwGw2Y/78+Whpaen29VNSUrB69WqUlJRg7dq1+Oijj7B27Vrs2bMH2f2y8e+//RvFRWJbIhvazm9ef/11fPjhh1i/fj3efPNNrF+/HnFxcc5exm1vvfUWHn/8cezYsQMffvghvvvuO4wePdrx+MqVKzF+/Hjk5+fjk08+wbJly3D99dcDACZPnoxt27Zh3759+OKLL7Bw4UL8+uuv+OKLLyBJEm666Sbhd2q323HllVeisbERTz31FLZs2YIPP/wQ27dvxz333IPXX3/do7Vff/31OHToELZu3YrPPvsMn376KQ4cOIC//vWvKC0txYMPPuj0eT///DMkScLevXvxxRdf4IsvvsC6detgMBjw4osvwmzuqAhmtVoxZ84cFBcX44477kBhYSEWL16Mzz77DLt27cKvv/6KQYM62ss+//zz+OSTT3Daaadh//79+Prrr/HZZ59h//79OOecc7By5Uq8+uqrHv2c5B5VpriemeKe4u3FRG6IDovGqORR2Fq+1TG3vnQ9JmdN1m5R1OcoMw+iDCyf7g/JkWKmOIPiRESklVJzKY40HOl2u5OyT/L6ZrlwfTjumXAPrh99PT7b/xk+2fsJDtUfUm1nl+14+pen0S+mH4YmDsXKfDF7dd7QeYgwRHT5WjkxOXhv5nu4/4f7saZojfDYy1tfxqTMSRidMtrFs92n/O5OikjyOrtEmSnOnuIUSF8UfCGMs6KzMDJ5pEaroc4iDBHIjc3FwdqDjrk9VXswJmWMhqsiIiJX5i2fFzLXd5JNyfj47I97tI+8vDwsXboUV111FUpKSvDOO+/gnXfabmpNTU3FFVdcgfvvvx/x8fGO5yxcuBBHjx7FSSedhBtvvFHY31/+8he8//772Lx5Mz799FNcfPHFXb5+UlISTj9dXckqNzcX199+PR6+7WGsXb0Wl153qeMxu9yWWXzWWWdh3rx5Ps00HjlyJO666y6Xj4eHh+Oll15CRIT6fGbUqFFOn3PGGWdg7ty5eP/997Fjxw7HdmvXrsXu3bsxZMgQ3HPPPcJzHnnkEbzzzjsoKipytkunZsyYoZrT6XR4+OGH8dprr2Hp0qVOn6fT6fDGG28gObnjOue4ceMwc+ZMLFu2DJs2bcL06dMBAEuWLMHu3bsxevRoPPvss0IWPQAce+yxjv+3Wq147rnnEBMTgw8++EDYf1RUFF5//XX0798f//73v3HzzTe7/XNS92x2G2x2mzDHTHHPMShO5KYTMk4QguK/V/6u3WKoTzJbxJ6e0WEsn+4Pykzx8kaWTyciIm24W5notP6n9fi1EiIScNXIq3DFiCuwvmQ9Pt7zMb47/J2QkQ4Ar29/HcenHQ+r3eqYC9OFYd7QeW69TqQxEi9MfwH/t+X/8Pr2jiwJGTIe+ekRLDx7YY/vdlde8FS2RvFEdoyifDozxSlAZFnG6oLVwtwZuWf0uHwo+c7QhKFCUFzZZoKIiIJHRVMFyhrLtF5GQJ1++uk4ePAgPv/8c3z11VfYsGEDduzYgbKyMjz33HP49NNP8dNPPzn6jreXRr/00kud7u+yyy7D5s2bsW7dum6D4u1++OEHrF27FsXFxWhubobNbsOBogMAgMKDhcK27UHw2bNne/XzduWcc87p8hjquOOOQ1ZWlsvHW1pa8MUXX+CXX35BeXk5WlvbSli3lxTft2+fIyj+ww8/AADmzp2rek2DwYALL7wQL7zwgkfrr6ysxOeff44dO3agpqYGNlvbOZrFYkFVVRWqqqqQmJgoPCc3NxdDhgxR7at9rrS01DH39ddfAwCuu+46VUBcacuWLaioqMDMmTOFgHi7tLQ0DB48GDt27EBTUxNMJpNHPyu5pswSB5gp7g0GxYncNCRB/BIpMTvv10HkL8qe4t6WAaWuKS+cN1ob0WhpZLl6IiIKOHeC4uH6cEzLnuaz19RJOpyYdSJOzDoRRxqO4NmNz+Krwq8cj28t24rtFduF55yTdw6STEkevcatx92KMH0YXt7a0U9wf81+vLHjDfxxzB979DP4NCjupKe4LMsMTJLf7ajYgWKzWJngzNwzNVoNOTMkcQhWFaxyjBkUJyIKXj05Hgw0X641PDwcc+fOxdy5cwG09c5+++23sWDBAuzfvx/333+/o5x3e2/q3Nxcp/tqn3fVw7qz2tpaXHDBBfjmm29cbtNobnQ6369fv27376nu9tnV49u3b8fs2bNRUFDgcpv6+nrH/7f/flzt09Of78MPP8T1118vlDt39vrKoHh7X3ml6Oi2JKvOZfAPHWqrFJaXl9ftetp/D6tWrer2nKiqqqrLmw3IM8p+4gadQWjnQ+5hUJzITVnR4gf4kYYjsNqtMOj4NqLAUJVPN7J8uj8oM8UBoLypHP2N/TVYDRER9WWdqxS5MiVrit9u3EqPSsdTJz2FdYfXodnWDKAto7tzljgAzB8+36v9XzPqGqwpWoPdVbsdc6/99hpO73868uK7vyDjiqp8ugcBeyVlpnizrRmVzZUhdWGVQpMyS7x/bH8MSxym0WrIGeWN83ur9/KmGSKiINXTcuS9RUpKCu666y6YTCbccsstWLFihWqb7r7H3Pmeu+eee/DNN99g6tSpePTRRzFy5EjEx8ejurUaS5YvwQ0X3eCyt7mzEuY91d0+XT0uyzIuuugiFBQU4MYbb8SNN96IgQMHIjo6GpIk4f7778dTTz0l/Czt/++L44HCwkJceeWVkGUZf//733HWWWchKyvLkX194okn4ueff3b6u/Tm9d15TnuW+uDBg3HiiSd2uW14eLjHayDX2E/cNxjNI3JTZnSmMLbJNpQ1lqnmifxFWT6dQXH/iDRGItIQiUZrx00I5Y3l6B/LoDgREQVOg6XBraxDX5RO70q4PhwTMydi7aG1Th9PCE/A4PjBXu3bqDPiryf+FfNXzHeUabfarXjkp0fw3zP/C71OL2zfYGnAcxufw69lv2JE0ghcOeJKDE0cqtpvZVOlMO5JUDzFlAKjzihcgDhcf5hBcfIru2zH6kIxKH56/9MZbA0yQxPEz58GSwOKzcWqm2mIiIiCTXsv6YqKjptJMzPbrnHn5+c7fU5hYVu584yMjG73/+mnn0Kv1+Pzzz9HXFycY77F1oLDhaHTjmj37t3YvXs3xo0bh1dffVX1+MGDB1Vz7b/H9t+Xkif9xFeuXInW1lbccccd+POf/+zW63sjJycHALB///5ut23PQB85ciTefvttn7w+uafVLmaKs5+4d5hbT+Sm+PB4mAxiDwxlOTsif1KWT2dQ3H9SIsVs8YrmChdbEhER+cfvFb/DLtu73CZMF4bpOdP9vpauAu8jk0f2KFB3TNIxuHzE5cLctvJt+GjPR6ptF+1dhMX7FiO/Nh/LDy7HhcsuxM1rbsbWsq3Cdr4sn67X6VUVo9hXnPztt/LfcKThiDB35gCWTg82qZGpiAuPE+b2VO/RaDVEREQdXGVhtztwoK2vd3sAFwBOOukkAMD777/v9Dnt8+3bdaW6uhoxMTFCQBwAmq3NWL10tYtnBZ/q6moAzkuRV1dX46uvvlLNT5kyBQCwePFi1d/BarVi8eLFHr9+e9C6s++//x5Hjx51e19dOfXUUwEAb7zxRrf/dsaPH4+4uDh8++23qKur88nrk3ssNkWmuI6Z4t5gUJzITZIkqS6Isa84BRLLpweO8uJ5RSOD4kREFFhF9d1nEEzOmhyQ44GZuTNVx8HtRqWM6vH+bxpzE/rFiL31/vHrP1TH2r8c+UX13O8Pf48/rPoDrvziSvxY/CNsdhvy68TsllRTao/WlxWjCIrXMyhO/vVFwRfCeGDcQK8rMpD/SJKkyhZnX3EiIgoGDz30EO6++26nWd/79u3DHXfcAQC44IILHPMXXXQR0tLSsG7dOrz22mvCc/75z39i48aNyM7Oxvnnn9/t6w8ZMgQ1NTX4+OOOsvU2uw2v/d9r+OWHjmP6YL+2OWjQIOh0OnzzzTfYt2+fY765uRk33ngjqqqqVM85+eSTMWTIEOzevRvPP/+88Njjjz/uMoPcmSFD2lq1vPfee2ho6EiWKi4uxo033ujpj+PSBRdcgCFDhmDbtm249957YbWK7bK2bt2Kw4fbzoHCw8Nx5513oqamBnPmzHH68/z222/C3558Q5UprmemuDcYFCfygLJUOoPiFEjMFA8cZV/x8qZyjVZCRER9lTuBV3+XTm9n1BtxybBLnD42JnlMj/cfYYjAghMXCHNN1iY8uv5RIVOhvNH19/Hmo5tx49c34oQPTlAdMw1PGt6j9WVHi5khDIqTP9llO74s+FKYOyP3DJZOD1KqvuJVDIoTEZH2zGYznnvuOeTl5WH48OG44IILMG/ePEyaNAnDhg3DgQMHcPzxx+ORRx5xPCcqKgrvv/8+TCYTbrjhBowbNw7z58/Hcccdhz//+c+IiorCBx984Faf6Pvuuw8AcPHFF2Pq1KmYP38+Ro4ciecfeR6X3/i/KlFSW2XWYJaamoprrrkGdXV1GDNmDM4++2zMnTsXubm5+Oabb3DllVeqnqPT6fD222/DZDLh7rvvxnHHHYf58+dj9OjRePLJJ3Httde6/fqzZ8/GiBEjsGnTJgwaNAgXXnghzj77bAwZMgQJCQnd9vR2l8FgwOLFi5Geno5nn30W/fv3x9y5c3H++efjmGOOwbHHHiuUVr///vtxySWX4Ouvv8bQoUNx4okn4uKLL8app56KgQMHYsyYMfjwww99sjZqI8syM8V9hEFxIg9kRolBcZZPp0BiT/HAUWWKNzFTnIiIAqu740yjzhiQ0untTsg4wen88enH+2T/49PHY87gOcLcj8U/YvnB5Y6xOzeptdhahHF6VDpSI3uWKa4KirN8OvnRlrItqn/rZ+aydHqwUgXFmSlORERB4MEHH8Q777yD+fPnw2Aw4LvvvsOSJUuwf/9+TJs2DS+//DJ++uknVXnzU045BRs3bsQll1yCw4cPY9GiRThy5Aguu+wybN682a3S6QBw6aWXYsWKFZg4cSK2bt2KVatWITU9FW8ueRPTz5wOADBIBkQYIlTP7a6FVKC9+uqr+Nvf/oYBAwZgzZo1WLduHU499VRs2rQJ/fv3d/qcSZMm4aeffsLMmTOxf/9+LF++HCkpKfj2228xefJkt187LCwM69atwx//+EdERERg+fLl2LVrF2655RZ89dVXMBp9FxQdOXIktm7dijvuuANRUVFYtmwZvvvuO4SHh+PBBx/E6NGjHdvqdDp88MEHWLRoEU4++WTs27cPS5Yswc6dO5GWloYFCxbgmWee8dnaCLDJNtV7g5ni3jFovQCiUKIqn97ATHEKHJZPDxxlULyrzDQiIiJ/6C4beXLmZMSExQRoNerADwAMSxyGcH33mSLuun3c7fj+8PdCQPCZjc9gUuYkxIfHo7KpUtj+0uGX4qvCr1DWWOZyn6OSe17ePTtGDIrzxljyp68LvxbGgxMGY2D8QI1WQ90ZmiiWTz9UfwiNlkZEGiM1WhERERGQnJyMP/zhD/jDH/7g8XNHjBiBDz74wK1tc3NzXfagnjVrFmbNmuUYH6g5gGZrMwBgR/kOpESmCEG9J/7vCTzxf08gLz7P4zVPnz7d6ToWLFiABQsWePy8zvR6PW6//XbcfvvtHu1/7NixWLlypWp+8uTJTjPM3377bbz99tuq+YSEBLzyyitOX2Pt2rWqua7+Jt2tOS0tDc8//7yq7Lsrc+bMwZw5c7rfkHrMYreo5gw6hne9wUxxIg+wfDppRZZllk8PoJRIlk8nIiJtKbORB8QNEMZnDTwrkMuBTtJhdt5sYe66Udf59DViw2Lx4MQHhbnallo8teEpVDVXQYZ4cee6Uddh1QWr8NcT/6rqSd5uTErPy7srg+JHG46i1dbqYmsi78myjG8PfSvMndYvMG0SyDt58XnQS3rHWIbMbHEiIiIFq93qCIi3izJGQSfpVIE9ZeUnIoLq/NOoM0InMbzrDf7WiDygzBQ/0nAEVrtVo9VQX7Krahda7eKXX0JEgkar6f2UmeLKzDQiIiJ/MreaUdNSI8w9PPFhTEifgBhjDC4ZdgnOyD0j4Ou67bjbMDplNEwGE+YNneeXnuYz+s1Q/WxfFn6Jj3Z/JMwZJAMSIhIQpg/DBYMvwOfnfY7npj2HoQkdWZtx4XE4N+/cHq9JeQ4gQ+bNseQXe6v3qioRzOg3Q6PVkDvC9eHIjc0V5hgUJyKi3kSWZVQ2VaKwrhAVTRXdZlY7o6x+qZN0MBlMAKCqPMWbT4nUlJniRj37iXuL+fVEHsiIzhDGNtmG8sZy1TyRr31T9I0wzo7OVvW4J99JMYmZ4tUt1bDYLDzgICKigDhYe1AYS5AwOmU03jzjTY1W1CYlMgXvz3ofNrsNep2++yd46b4J92F96XrUttQ65l7f/rqwTZIpSbgzXq/T48zcM3FG/zOw6egmFNYV4uSckxEfEd/j9cSExSAuPE5Yz2HzYeTG5fZ430SdKY/5s6KznLYuoOAyJGEIDtQecIwZFCciot6kuqUaRxqOAGi7eVcv6T1O1DFbzMI40hjpOJYP04cJ1TEZFCdSU74vwnTsJ+4tZooTeSAhPMFxF1s79hSkQFhTtEYYn9LvFEiSpNFqej9lUBwAKpuZLU5ERIGxpWyLMB4QN0Dot6c1fwbEgbaA9z3j7+lym9TIVKfzkiRhfPp4XDjkQiSZkny2puxosYR6dz3fibyhPOaf0W8Gj/lDwJBE8cYFBsWJiKi3sNltjoB4u+qWao/3o2wJGWmIdPy/8jynxc7y6URKzBT3HQbFiTwgSZIqO7ekgaUTyb+K6oqwv2a/MMcyiv4VFx6n6mlU3si+4kTBosXWgq1lW3Go/pBXpduIgt3Wsq3C+NjUY7VZiIbOHng2Tso6yeXjylYn/qbsK84bY8nXDtcfxp7qPcLcjBwe84eCzm0bgLaguF22a7QaIiIi36lrrVOdczdZmjxqJ2qxWVRZrtHGaMf/K8unt1hbeJ5PpMBMcd9h+XQiD2VGZwql0ZglQv6mLKOYGJGIMSljNFpN3yBJEpJNycLdsOVNDIoTBQNzqxkXr7gYhXWFAIDMqExMzJyIE9JPwISMCY5A2aG6Q9hSvgUjk0diYNxALZdM5BFZllWZ4mNTx2qzGA1JkoSHJz2M85aep8osAYC8+LyAroeZ4uRv3x76VhgnhCf0yRtiQpGyxH2DpQEl5hLVzTREREShptnW7HS+rrUOiRGJbu2jwSoey+skHSIMEY5xhD5CeNwu22G1W6GX/FudiihUyLLMTHEfYlCcyEP9YvsBnRJD8mvztVsM9QnKMoon55zs97Kl1FZCvXNQvKKpQsPVEFG7xfsWOwLiQFvFliX7lmDJviUAgMEJgxFliMLW8q0A2u6e/dv0v2F6znQNVkvkuX01+1QtO/pqYCw9Kh23H387Hlv/mDCfG5uLeUPnBXQtynLtVc1VAX196v2UN8JOz5nOY/4QkRqZivjweNS01Djm9lTvYVCciIhCnqv+3uWN5YgLi3PrWEV5g2uUMUpoD2PQGaCTdEKVlWZbM6IMUV6umqh3sck2VfUEo45BcW+xfDqRh5TZZp2zxol8raKpAtvKtwlzLJ0eGMqyrAyKEwWHH4t/7PLxfdX7HAFxAGi1t+L+dffzPUwh49siMVs0MyoT/WL6abQa7V045EJcccwVCNOFIScmB09MeQJLz1uK9Kj0gK4jPjxeGNe21Ab09al3q2quwq9lvwpzPOYPHZIkqbLF91axrzgRUaCx5Lbvtdic9/e22q1uV1R0FhTvTJIkdQl1F69L1NfYZTtKzOr2vcq2n+7gZ2QbBsWJPKQMihfWFnrUR4XIE98e+hYyOr6wIg2RmJgxUcMV9R0pphRhzPLpRNprsbWoggbuqLfUY/mB5X5YEZHvrT20VhhPz5kuZFL0NTpJhzvH34lNl23C8vOXY3bebOikwJ/GxoXHCePaVgbFyXe+O/SdkB1lMph4zB9iVEHxagbFiYgCxWBoCw61tDCQ6kt22Q6LzeLy8armKrRYu/6dt9paVftQBsUBINzAoDiRMyXmEtS31gtzOknn1TmxxdL2XtTr+3Y1KgbFiTyk7F/Yam9FsbnYxdZEPaMso3hS9kkI04dptJq+JTlSkSneyCxTIq1tK9smnBxLkHD78bdjWvY0RBoiu3zuwdqD/l4eUY+VNZZhR+UOYY6l/9tIkqRJMLydMlO8pqWGd9qTz3xzSDzmn5w5Wei1ScFvaOJQYbyneo9GKyEi6nsMBgOioqJQVVUFm82m9XJ6DVel09vJsowjjUe6PCZWZonrdXpVVjgAdaZ4N8F2or6g0dLotEKZNy2WZFlGbW0twsPDYTT27dLr7ClO5KGEiAQkhCeguqXaMXew5iD6x/bXcFXUG5lbzdhQukGYO6XfKRqtpu9hpjhR8FFeYB6WOAxXjbwKV428Cha7Bb9X/I6fSn7CD8U/YHvFdmFbZ+WmiILNd4e/E8bRxmiMSxun0Wqos9jwWGFstVvRZG1CpLHrG3KIulPbUqtqDcLS6aFHmSl+qP4QGi2N/IwgIgqQ5ORkHDp0CPn5+YiLi4PJZIJer+/TFZd6ytxqht3SUcnGIBkQExYjXBOvs9ShEpWIDot2uo/ahlphH5FhkU4z+iWLJGzXZGlCc1gzWltb0dzcDJ2OuZ3Ut8iyjFJzKexWu/pBO9Dc3Oz2fiwWC2pra2E2m5GVleXjlYYeBsWJvDAwfiA2H93sGB+oPYCTcbKGK6Le6IfiH2Cxd5QYMugMmJI1RcMV9S0MihMFn8K6QmE8KH6Q4/+NOiPGpo7F2NSxuGnsTViVvwp3f3+34/GSBgbFKfgpS6dPyZoCo75v38UdLJSZ4kBbtjgDXtRTqwtWC8f8Rp0RU7Onargi8kZefB70kh42uSNDcW/1XoxNHavdooiI+pDIyEgMGDAAZWVlqK6uRkUFq/31VH1rvVC2OVwfDnuEHZWNlcL3XaWuEqmmVKc3IBxtOCps2xLegmajOphns9tQ1lgmzNmr7GhtboXJZOLNDdTntFhbUNlc6fSxcEM4bJWeVcUIDw9HVlYWYmNju9+4l2NQnMgLA+PEoHh+bb6Gq6Heak3RGmF8QsYJiAmL0Wg1fU+ySSyfXtVUBbts17R0K1FfV1BbIIxz43JdbpsZnSmMSxtK+R6moFTRVIF1h9chKzoL60vWC4+xdHrwiDZGqwJetS21qs8aIk99VfiVMJ6eM13Vw56CX7g+HLmxuThQe8Axx6A4EVFghYWFITs725EZabc7ybAkt724+UV8W/StY3xG7hm4+ZibcejQIbyw6QVh2/nD5+PiYRcLc4frD+PJrU8Kc6+c+gqyY7JVryXLMh5Y8QCaLE2OuQcnPIj6gnpMnTq1z5d7pr7FLttx+9rbcbDGeRvAk3NOxl+G/8Xt/en1er6HOmFQnMgLyr7iB2oOuNiSyDuttlasK14nzM3IYRnFQFIGxa2yFdXN1UgyJWm0IiIqqCsQxl21LsmMEgNVVrsV5Y3lSItK88fSiLxS21KLC5ZeIJQgbGeQWCEmmEiShLjwOFQ1VznmalpqtFsQ9RpHGo4I45NzWIEsVA1JHKIKihMRUeBJkoSwsDCtlxHydtTuQGlrqWOcEpuCiIgInDHoDHy4/0P8Wvar47G/bfsbdEYdTut/GjKiMwAAvxb+Kjw/1ZSKvOQ8l1nf0aZoHGzoCAIeaDiARGsiIiIiGNCjPuWL/C/wY9mPLh/Xh+sRERERwBX1LkyVIfLCgLgBwvhg7UHIsqzRaqg32lC6AQ2WBsdYgsTeggGWZEqCBPFAvaKJ5beItNJoacTRxqPCXG5srsvtk0xJMOrEE+fShlIXWxNpY9mBZU4D4gBwfNrxzBYNMrFhYqm52tZajVZCvUmrrVUYK/+dUegYmjBUGO+p2qPRSoiIiHpO2b6svVKbJEm4/4T7VVXYntv0HM769CwsP7gcQNu1zc4mZEzosgy6Kgmtlklo1PdY7Ba8tOWlLrdJjEgM0Gp6JwbFibyQFyd+STdZm1R3+BP1xHeHvxPGo1NGqzKXyb8MOgMSIhKEOQbFibSjrJ4BdJ0prpN0qrLGJWb2Fafg8vGej10+xtLpwUfZV7y2mUFx6rlWuxgUN+qZCRWqhiQMEcb7avbBLrN0LxERhZ7q5mrUtojHugNiO5LEhiYOxdwhc1XPs9gtuH/d/dh4ZCM2HtkoPDYhfUKXr8mgOBGwZO8SFNUXdblNpCEyQKvpnRgUJ/JCamQqooxRwtzBWuc9Hog8JcuyKijOMoraSDGlCOPypnKNVkLUt1U3V+PJDWIvskHxgxBh6LpcVEZUhjAuaWBQnIKLQee6m9W0nGkBXAm5Q5m5z0xx8gVlpniYjuVeQ9XQRDFTvMHSgGJzsUarISIi8p6ydZlRZ1TddH7LsbeobhoFABkyrl59taoi1oQMz4Li+bX5rMxKfUqjpRH/+u1fwtyg+EGq7ax2a6CW1CsxKE7kBUmSVNni7CtOvrK3eq+q8sC0bF4Y10JypJidz0xxIm08teEpoY8vAFw98upun8dMcQp2yhL/7QbFD0JOTE6AV0PdUQbF2VOcfMFitwjjMD2D4qEqxZSiunn+aMNRF1sTEREFr4LaAmHcL6Yf9Dq9MBcXHodbjr3Frf1lRWchKzqry22Uwb8GawNqZd6ESn3H+7veV117vm/CfartlDeQkGcYFCfykrO+4kS+oMwSz4rO4pedRlSZ4o3MFCcKtK8Kv8KqglXC3PTs6Th74NndPjczShEUZ6Y4BRllScJ2rBATnFSZ4i7+fkSeUGWKMygesiRJUmXM1bXWabMYIiKiHsivyxfGrlqXzR0yFzeNvUl17q10QsYJ3b5mWmSa6uayMltZt88j6g1qmmvwnx3/EeYmZ07GhIwJQquCrOgsTMyYGOjl9SoMihN5SRmkZFCcfEUZFJ+WPQ2SJGm0mr5N2ced5dOJAququQqPr39cmIsNi8XDkx5263ORmeIUzGx2G8oanV/kYVA8OKl6ijMoTj1ks9tgk23CHMunh7bYsFhhzM8JIiIKRcpM8dy4XKfbSZKEP475I1ZfuBpzBs9xub/u+om376tz33IAqLZXu9iaqHd5c8ebMFvMwtyfj/szAOC+E+7Dgyc8iJvH3oz3Zr2nqtpAnnHdxI6IuqQMih+oOQBZlhm8pB6pbKrE9vLtwhxLp2tHGRSvbKrUaCVEfdOTG55UlU2/74T7kBKZ4uIZImVP8VJzKb+rKWhUNlfCKjvvBTYieUSAV0PuiAtjpjj5Vqu9VTVn1Dtvq0ChQVlRgpniREQUipQ9xXNjc7t9TnpUusvH3AmKA0BGdAZ2VO5wjGvsNW49jyiUHWk4gg92fSDMzcydieFJwwG0tV2bN2yeFkvrlZgpTuQlZfn0utY6VDYzYEY9s654HWTIjrHJYMK49HEarqhvU5VPZ6Y4UcCsLliN1QWrhbkZOTNw1oCz3N6HsmdZs60Z1S2805yCw5GGI07n5w2dB53E07RgFBfBnuLkW8rS6QAzxUMd2ywQEVGos9qtOFR/SJhTXgd3xlVQfEDcALdvbFfuo9bO71HqveyyHSXmEryy9RXhZlmDZMCfjv2Thivr3ZgpTuSlzKhMROgj0GxrdswdrDmoyiwl8sT3h78Xxidmnsi+ghpSHrRXNFUwy5QoACqbKvHE+ieEubjwODw06SGP3n8pkSnQS3qhNG2JuQSJEYk+WyuRt5wFxQfFD8KNY27UYDXkDmWmODNAqacsdotqjsf+oU1ZPp2fE0REFGpKzCWw2sWKVj3JFHc3SxxQV3tjUJx6q59KfsKCnxagtKFU9dicIXPQL7afBqvqG5iCQOQlvU6v6qfCvuLUExabBT8W/yjMsXS6tpQ3uTRZm9BgadBoNUR9gyzLeGLDE6qM7gdOeMDjG88MOgPSItOEOfYVp2ChDIoPThiMxbMX8wbLIOasp7gsy843JnKD00xxBsVDmqp8eguD4kREFFqUpdPjw+MRHxHf7fPSI50HxU/IOMHt12amOPUFv1f8jpu/vtlpQNxkMPFGeT9jUJyoBwbGDRTGB2oOaLQS6g02Ht2IRmujMHdS9kkarYYAdVAcYAl1In9bXbAaXxV+Jcyd2u9UnJl7plf7y4zOFMbOTjqItKD8tzgkYQjLpgc5ZVDcJttgtpi1WQz1Ciyf3vsoK0rUtvJiPhERhZb82nxh7E6WOACkRaU5ne9JpnidXAeb3eZia6LQ9EXBF7DKVqePXTb8Mt4o72e86kLUA8qguPKggcgTytLpo5JH8UtQYyaDCdHGaGGuoqlCo9UQ9X4VTRV4YoNYNj0hPAEPTnzQ67YFyqB4sbnY6/UR+dLRxqPCWHkBiIKPMgMUYF9x6pnOvQPbGXTschfKYsPF8unsKU5ERKFGmSneP7a/W88zGUyqudzYXKfH0K4oM8XtsKOyudLt5xOFAleJlUadEVeNvCrAq+l7GBQn6oG8+DxhfKCWmeLkHVmWsfbQWmFuavZUTdZCIuWNCQyKE/mHLMt4fP3jqgDT/RPvR5Ipyev9KgONpWZmipN/bSjdgDMXn4lpH0/DsgPLXG6nLJ/uqtwgBQ+TwQSjzijMsTQy9YTFJvYUD9OFeX0TGAUHZaY4e4oTEVGoKagtEMbK9qFdUV7LfHDigx69dmJEoup4m9XeqLdx1YL3z8f9GTFhMQFeTd/DoDhRDygzxSuaKngnOHklvzZflb04PWe6NoshQUpkijAub2T5dCJ/WJm/EmuK1ghzp/c/3euy6e2yorOEcUkDe4qT/8iyjCc2PIFiczGqmqvw2PrH0GRtcrqtKigexaB4sJMkSZXpwkxx6gllpjj7iYc+ZooTEVGoU2aKD4gd4PZzbz32VgyKH4QoYxRuHHOjR/3EAUAn6VTn8Pl1rMxKvUeztRklZvV1qZkDZmL+8PkarKjvYV0uoh7Iic2BQTIIPSDya/MxNnWsdouikLT28FphnBqZiqEJQ7VZDAmYKU7kfxVNFXjql6eEucSIRDww8YEe7zsjWswUd3byQeQrzbZmoZ1Ok7UJm49uxpSsKcJ2FptF9X3CoHhoiA+PF/52DHhRTyh7ijMoHvpiw8SgeH1rPeyyHTqJOSlERBT8mqxNqvMUd8unA8DQxKFYPHsxAHj93TcofpAQmHeVVUsUigrrCiFDFua+m/cdEiMSNVpR38OjcqIeMOqM6BfbT5jjFzV5Q9lPfFr2NJZODBIpJkWmeBMzxYl87Yn1T6gCSw9OfNAnJwWZUWJPcbPFzFKm5DfOSmkry/8BQFlTmepEmEHx0KAMeDFTnHqCQfHeR1lNQoaM+tZ6jVZDRETkmbLGMtWc8kbz7ugkXY9uBhsYL1ZmZbtS6k2UsaOMqAwGxAOMQXGiHlL1Fa/hFzV5RpZl7KzcKcyxn3jwYFCcyL92Ve7C10VfC3Nn5p6J0/qf5pP9p0elQ4J4kxH7ipO/OAt8mAwm1ZyydLrJYFIFWyk4xYfHC+PqlmptFkK9gioormNQPNQlRiSqjjuUbbKIiIiC1dGGo8I4xhiDKGNUQNcwKH6QMGYCGvUmyn/Pyva85H8MihP10IA4sa8Kv6jJU1XNVap+o0MShmi0GlJKjlSUT29k+XQiX3rr97eEcXx4PO4/4X6f7T9MH6a6uYUXp8lfnFUhUGaEA+qgeFpkGivEhIiUSMXNco28WY68x57ivU+YPgyZ0WKVmsK6Qo1WQ0RE5JmjjWJQPC0qLeBrUCagHW08CnOrOeDrIPIHZUKlsjIC+R+D4kQ9lBcnflEfrGFQnDyjDM4YJAPSIgN/0EnOKXuKM1OcyHdkWca6w+uEuT8c8wckRCT49HWU5d5KG5gpTv7hLChus9tUc8p/gxlRnpUkJO0oj9GONB5xsSVR95SZ4s7aLVDoyY3NFcad+6ISEREFM1VQXIPrk7mxudBLemGOJdSpt1DGjpSxJfI/BsWJekh5N09JQwkaLY0arYZCUYm5RBinR6VDr9O72JoCTZlhWtdap7qASUTeqWmpgdki3vF9Ru4ZPn8dZcaW8nOXyFecBsVldVBcmSnOfuKhQ5ktoywxSeQJZor3Tv1j+wvjgtoCbRZCRETkIVVFKw0yxcP0YciJyRHm2K6UegOL3YLCerGCEDPFA49BcaIeyo3NVfUMy6/L12g1FIoOmw8L46yYLI1WQs4oM8UBoKKJJdSJfEFZKUMv6ZEV7fvPwMwoBsUpMOpa1EFxq92qmlMGUhkUDx3KbJmyxjKNVkK9gaqnOIPivYIyKM7y6UREFCqUmeKpkamarEPZV3x/zX5N1kHkS4fqD6muD7CneOAxKE7UQxGGCNUFfJZQJ08og0L+CAiR92LDYhGmEy9QsoQ6kW8obwrKiMqAQWfw+euoMsUbGBQn/6hvrVfNOc0Ub2SmeKhSXhisa61jlSjymsVmEcbKY04KTblxucK4sK4QsixrsxgiIiIPKG/e1aq9o7KvOK+1U2+g/HecbEpGXHicRqvpuxgUJ/IB1Rd1Lb+oyX3F9QyKBzNJkpASKZZQr2hkpjiRLxyuD0ylDGVQvNTMnuLkH+72FFeVT49kUDxUOLswyGxx8payfLpRz57ivYGyp7jZYkZlc6U2iyEiIvKA8rhWq6A4M8WpN1K2AWA/cW0wKE7kA8reD7x7jTxR0SwGWDOiMjRaCbmiLKHOTHEi31BWysiOzvbL6yjLp1e3VDOzk/zCWVDcKovl0ZqsTahpqRHmmCkeOiKNkYgJixHmGBQnb6nKpzNTvFdIj0pX/S3ZV5yIiIKdxWZR3cSlRU9xQH2t/WjjUadVuYhCyYFaMSjOfuLaYFCcyAeUvR+YKU6eUAZmooxRGq2EXEkxiZniDIoT+UagKmU4CziWNjBbnHzPWU9xZaa4siQhwKB4qFFmzCh7LxK5S5kpzp7ivYNO0qFfbD9hjn3FiYgo2JU1qW/01CpTPDc2F3pJL8wps2yJQo0ykZL9xLXBoDiRDyhLXRTVF6nu+idypcnaJIxNBpNGKyFX4iPihbGzoAcReU6VKR7jn0zxSGMkEiMShbkSM/uKk+85LZ+u6CmuvCEjNiwWkcZIv66LfItBcfIVVU9xBsV7jQFxA4Qxg+JERBTslDfvmgwmxIbFarKWMH0YcmJyhDkmoVEos9ltKKgrEOaULXkpMBgUJ/IB5QmvXbbzpJfcpgyK88J48FGWSTVbzBqthKj3sNltKGkQA9P+yhQH1K0pGBQnf3BaPt0ulk9X9hNn25TQoywj6Sz7n8gdyhupjTr2FO8t+sf2F8bKi6BERETBRnmjZ1pkGiRJ0mg16iQ09hWnUFZiLkGLrUWYY6a4NhgUJ/KB6LBoVcaIskcEkTN22c5M8RAQYxSD4uxjRNRzZY1lqmChP4PimdFiX3FlQJ7IF9zJFFcGxVk6PfSkRqYKY2aKk7eU5dPD9eEarYR8jUFxIiIKNcobPbUqnd5OGTBk+XQKZcpYUXx4vKqiIQUGg+JEPqL8os6vyddoJRRKmq3NqrlIAzPFg40yU5xBcaKeO2w+LIxNBpNfTwgyo8SgeKmZPcXJ95x9Pyh7ih9pZFA81LF8OvmKMlOc5dN7j9zYXGF8qP6Q6mZAIiKiYKLKFI9iUJzIV5T/fgfGDdS0EkNfxqA4kY8oe0AwU5zc0WhtVM0xUzz4qILiFgbFiXpK2U88KzrLrycEGdFiierihmIXWxJ5x2KzqKq/AMwU742UQfGyxjKNVkKhzmJX9BTXMSjeWyiD4la7lTfkERFRUHNWPl1L/WL6CePypnLVDcdEoeJg7UFhPDCepdO1wqA4kY8o+4orP+iInHF28Zw9xYMPM8WJfE8ZFM+Ozvbr6zFTnPyttrXW6bwyM7C0Qfy3x6B46FGWT69sqoTFZnGxNZFrqp7ievYU7y3iI+IRFx4nzLGEOhERBTPlObLymDfQUk3i69tlOyqbKzVaDVHPHKwRY0V5cXkutiR/Y1CcyEeUmeIFtQUsj0bdarSImeISJEToIzRaDbnCoDiR7x2uF8unZ8X4r584oO4pXt5UrgpGEPWEq++GzpnisiyrMsUzojKUT6Egp7yRQYaM8qZyjVZDoUz5ucGKUb0L+4oTEVGokGUZhfWFwlxOTI5Gq2mTEJEAnSJ8Vd7IY24KPbIsq6oKM1NcOwyKE/mIss+JxW5RZcERKSkzxU0GE/uJBKEYoxgUb7A0sGQTUQ+VmEuEcVZ0YIPigDpjl6gn6lrrnM53/r6oa61TffczUzz0xIbFqm5iZAl18kZJg/hdmB7Jz4PeRFlCvbCu0PmGREREGqtqrlLdrKe8uSvQdJIOMZJ4PY7H3BSKjjQcUV0HYKa4dgyePuHqq6/2xzpUJEnCm2++GZDXIvKFhIgEJEYkoqq5yjF3oOaA5gcQFNyUPcWZHRKcosOiVXNmi1lVEpGI3KcMBCjLm/taTFgMYowxqLd0nOiXmEv4PU0+U9fiPChulTsqBymzxCVImpclJM9JUtvfrai+yDF3pPFIF88gUrPYLaoLu85u4KLQpQyKM1OciIiClfLGrTBdWFBUtIrRxaDW1tGmitWZKBQps8SjjFG8DqAhj4Pib7/9dsCyGBkUp1AzIG6AEBQ/WHsQMzBDwxVRsHOWKU7BJzYsVjVX31rPoDiRl5wFAjKi/X/CnRmdiT3VexxjZoqTL7mTKa4MiqeYUmDUsYdwKEqLShOC4kcbjmq4GgpFRxuOwi7bhTkGxXsX5Y13zBQnIqJgpfyO6hfbD3qdXqPVdIjVxQKdCjUebeQxN4WeAzViUDwvLo+VYjXkVfl0WZbd/q+757l6jCgUKcteHKw5qNFKKFQoe4pHGiM1Wgl1xWQwQS+JJwPsK07kvbLGMnUgwM+Z4oA68M42J+RLLoPinXqKK2/EYOn00JUWmSaMWcqRPKVsIxJljHJ6IyaFLmVQ3FnpTCIiomCQX5cvjIOlolqsJB4bsac4haKDtWKMiP3EteVxpvgVV1zh1nYrV65ERUWFI8CdnJyMUaNGISkpCeHh4airq8PBgwexZ88eWK1Wx50Rp556KjIzeXc0hSblB5ryA49IiZnioUGSJESHRaO2paNkk9li1nBFRKFNGQgwGUwBqbygDLyXmpkpTr7j6mYpq911+XQGxUOXstwds1bIU8obszKjM5kx0sv0i+2nmiuqK8LQxKEarIaIiMi1wloxUzxYguIxOkVP8SbeiEqhR5k4yX7i2vI4KP7WW291+XhLSwuuueYalJeXQ5IkXHrppbj11lsxfvx4p9vX1dXho48+whNPPIFDhw5h69atuOeeezBjBktOU+gZEDdAGOfX5kOWZV7cIJeUQfFIAzPFg1WMMUYIirvKCCSi7imzZTOjAhMIUJalVfY1J+oJVz3FmSneOykzxVk+nTx12HxYGGdFZWm0EvIXk8GE9Kh04YaogroCBsWJiCjoFNQVCOPc2FxN1qEUqxMzxZXBe6JgJ8uyqqc4M8W15VX59K7ceuut+OCDDxAREYElS5bg3XffdRkQB4DY2Fhcf/312LlzJ0455RSUl5fj/PPPx549e1w+hyhYDYwTP9AarY3MGqEuNVrF8unMFA9eMWHi3aksn07kPWWmeCD6iQNOguJmBsXJd7zpKc6geOhi+XTqibrWOizeu1iYy4phULw3UgYV2FeciIiCjc1uQ1F9kTCXG5erzWIU0nXi+dJh82FUNFVotBoiz1U0VaiuIStjSBRYPg2Kr1u3Dq+//jokScKTTz6Jc8891+3nRkVFYcmSJcjOzkZ9fT1uvPFGXy6NKCDSItNUmb4soU5dabIoMsXZUzxoKXs8usoIJKLuOcsUDwTl65Q1lgmlrYl6wp2e4sqgeEZUYG4IId9Li1IHxe2yXaPVUKj5x+Z/oLK5Upiblj1No9WQPynLzzIoTkREwaakoUR1XhwsmeJp+jREGaKEuS1lWzRaDZHnlFniEfoIVcIGBZZPg+L/+c9/AADR0dH44x//6PHzY2JicMMNNwAAvv/+e+Tn5/tyeUR+J0mS0xLqRK4wUzx0xEfEC+OalhpN1kHUGwRLprhNtjG7k3zGVVC8/QKTza7+98ZM8dClzBS3ylZUNVdptBoKJb9X/o5P9n4izE3Pno6JGRM1WhH5kzKoUFBboMk6iIiIXFF+N8WGxSI+PF6TtSjpJB1Gp4wW5n49+qtGqyHy3IEaMSg+IG4AdJLPC3iTB3z621+/fj0kScKIESMQHh7u1T46l1rfsGGDr5bmMwUFBZAkyeP/hg0b5tHrFBUV4YknnsDEiRORmZmJ8PBw5OTkYNq0afjHP/6B8vJyr38Gf+6bnPcVJ3JF2VOcQfHgpTwh4IVvIu9plSkeHx6v+pwtNhcH5LWp92uwNDidb88Ur2yuhFUWMzAYFA9diRGJ0Et6YY5tk8gd/9j8D8iQHWOTwYT7TrgPkiRpuCryF2WmeH5dPmRZdrE1ERFR4CmrmOTG5gbVccmxKccK47WH1vK7lEKGMjaUF5+n0UqonU+D4sXFbRcVw8LCvN6H0Wh0/H9JSd/s8/jSSy9h2LBhePDBB7FhwwaUlpaitbUVhw8fxvfff4/bbrsNw4YNw8KFC4Nq39RG2ROC5dOpK40WMVOc5dODV2JEojCubq7WaCVEoc0u21FqVgTFA1Q6SpIkVblqZYCeyFsWu8XpfHtQXPlvzagzqr5bKHTodXqkRKYIc0cbGBSnrv1S+gt+Lv1ZmLt+9PUsodiLKXuy1rfWs+IUEREFlYK6AmEcLP3E203OnCyMD5sPY2fVTo1WQ+QZZaY4g+LaM/hyZ3q9HrIsY8+ePV7vY9euXcL+gt3UqVNhMnWf2ZmTk+PW/h566CE8/vjjwtygQYOQlZWF4uJi7N+/HwBQVVWFefPmoaGhAVdddZXm+6YOqqB4DYPi5JxdtmNb+TZhLljKE5FaQkSCMK5uYVCcyBtVzVVotbcKc4Hsq5wRnSHcsKYs5U7kLYvNeVC8vXy6sp94WmQay6aFuLTINOHvykxx6oosy/jHln8Ic6mmVFw6/FKNVkSBkBmVCYPOIPRqLawrVJ1bEBERaUUZFFdWOdHasIRhyInJwaH6Q465NYVrMCJphIarInKPsjqhsrUOBZ5Pg+L9+/fHb7/9hrKyMnz++eeYPXu2R8+32+148803hf0Fu//+97/Izc31yb6WLFkiBK2POeYYvPPOOzj++OMdc5s3b8bll1+OnTvb7oa6/vrrMWLECEyYMEGzfZNoQLxYPr2yuRK1LbWIC4/TaEUUrLaVb0N5k9iuYFLmJI1WQ91RBcWZKU7kFWUQ2qAzqLIt/SkrKqvL9RB5q7tMcWVQPCM6cDeDkH+kRqYKY2XPeKLONhzZgN/KfxPmbhhzA9sn9XJ6nR79YvoJN+Tl1+ZjbOpY7RZFRETUibJ8erAFxSVJwqn9T8VbO95yzP1axr7iFBrqW+uFMW+M1J5PUxNmzZoFoO0O6D/+8Y+OzGN33X333diyZQsAIDw8HKeccoovlxfULBYL7rrrLsc4Ozsb69atE4LWAHD88cdj3bp1yMpqu6BrtVpx5513arZvUsuJyYFBEu83YV9xcubrwq+F8aD4QapKAxQ8EsKZKU7kCyUNYhA6PTI9oNmyykCkcj1E3mq1tTqdt9mdB8XTI9lPPNSlRaYJY5ZPp650vpALtJ03nj/4fI1WQ4GkDC4ogw9ERERaabI2qc5TgjGTdVzaOGH8e8XvQhUWomBkl+1osDQIc9HGaI1WQ+18egXyhhtuQGRkJCRJQmlpKSZOnIhXX30Vzc3NXT5vx44dOOuss/Diiy8CaLv756qrrkJMTIwvlxfUPvjgAxw82HHn8AsvvIDEROc9BhMTE/HCCy84xuvWrcP333+vyb5JzagzIidWLJfPoDgpybKMb4q+EeZO7X+qRqshdyjv5KttqeUBOJEXtOon7ni9KPH1lOsh8parTHFX5dPToxgUD3XKvyHLp5Mru6t246eSn4S5q0ZeBaPOqNGKKJCUvVkZFCciomBRVFekmusX20+DlXRtVPIoYdxsa8be6r0arYbIPU3WJsiQhbnoMAbFtebz8unPP/88brrpJkiShKqqKvzpT3/CPffcg6lTp2LUqFFISkpCWFgY6uvrkZ+fjw0bNjjKdbfLy8vD008/7culBb1PPvnE8f+ZmZk4//yu7xi/4IILkJmZiZKSEsfzp06dGvB9k3M5MTlCIFxZIptof81+HDYfFuZm5MzQaDXkjsQI9c1ENS01SDYla7AaotClLFceyH7igDoIX9pQCrtsZ29n6jFXmeJWuS0oXtog3oDBoHjoY/l0cpcySzwxIhGz8zxrN0ehS5lxp+zdSkREpBXld1J6VHpQtnZJiEhA/9j+wo1lv5X/hmOSjtFwVURdU5ZOB5gpHgx8fvXvxhtvxAsvvABJkiBJEgDAbDZj1apVePbZZ3HPPffgL3/5Cx5++GG89dZb2LlzJ2S57W4JWZYxfPhwrF27tk9liTc1NeHrrzvKKJ955pkwGLq+X8FgMOCMM85wjD///POA75tcU5VZZu9hUvj20LfCOCMqA8MSh2m0GnJHXHicao7vbSLPKQODAc8UV7yexW5BRVNFQNdAvZPLnuKuyqczKB7yVOXTG486zm2J2lU0VeDLgi+FuUuHX4pwfbhGK6JAU5ZPL6orcnw3EBERaUlZvSQYS6e3G508WhhvK9+m0UqI3KMsnQ4AUcYoDVZCnfk0U7zdbbfdhhNPPBF/+tOfsGnTJgBwXBxoD5R3ngOAyMhI3HLLLXjkkUcQHt63Tg537tyJlpYWx3jy5MluPW/y5Ml46622O86LiopQVVWlKovuz327Qzq8ETCrA0m9XWJrkzCubK7UaCUUrL4tEoPi03OmC5+PXao9DNQccvqQZLMi0bwH0qFEQO+Xj/g+ywggxhCJemujY66m8EegrotgWnwOEJft/8VR32G3A+W7gOY6rVfitZLq/cI4o7kRKPw5YK+fLNthlAywyB3tD0r2f4nUuDzfvpCkA1KHAxGxvt0vBSVZll0HxWUbWm2tquNBr6oktDYCR38H2L4jKKQpbqhpsjah7sAaxBmjAKMJSBvJ4zHCp/s+dVSMAIAIfQTmDZ3n3c7qjwJVB7vfjrQXkwYkDAAkSRUUb7W34kjjEWRFZ2m0OCIiojYFtQXCWPmdFUzGpIzBsoPLHGMGxSnYKTPFTQYTDDovzw8bKoGKwLQMkGxWJJj3BeS1tOC3M/QJEybgl19+waZNm7BkyRJs2LABe/fuRXV1NVpbWxEbG4u0tDQcf/zxmDZtGi666KKQzA6/++67sWvXLhw6dAhNTU1ISEhATk4OJk+ejPPPPx/Tpk3rdh/K8vGDBw9267WV2+3cuRNTpkwJ2L7dYfjoIiDczUBfL5IYGwMkdWSLVzcyA406HG04ih2VO4S5k3NOdu/J3zwOfP+cy4cNAE4CgN77vaWppKwM1Id19H488vV9gLmxi2cAmHI7cOojfl4Z9QmtDcA75wKHN2q9kh4p7Z8N6DqKFWWufRZobuniGb6lA5CRnYEiY8d7uWT1XRjb0M172RuGCGD+QmBg98eDFNqsXQSpbXYbjjaoe017nCleug347zlAc62nyyM/SQWAAWLPxbKPL0ac5X83SCQPBa5aBUQlBXxtFBxsdhsW7V0kzJ054EynFYi6tf5V4It7fbQyCohj/wCc+39IikhCjDEG9ZaOC6OFtYUMihMRkeaUmeID4gZotJLujUkdI4wP1R9CVXOV03aHRMFAmSnuden03xYCn94AyHYfrKp7BgAntvTeCmh+v2193LhxGDdunL9fRjOd+3UDwNGjR3H06FFs2rQJ//jHPzBhwgS8+eabGDlypMt9FBQUCON+/fo531Chf3/xzq2CggJV4Nqf++6spaVFyEivqwvdDDZfSLCLH1BVdUWwWJxnD1Hfs6ZwjTCONkZjTNKY7v+NtDbA8MPf0fduMwke/axWFHQKiud3Cqq5Iv/0T1gn3QqEsWdMb9b+/vXnZ72050sYQjwgXqeTYNaJ3XsyrYEvH5phtYlB8W5ay3jN2gz7Dy/ClnOif/ZPAXnvuaPR4vqmCovdgkN1YoWXaGM0IqQIj9at/+ll6BgQDypGAIk2G6r0esfcUYMeg9v/rhV7YPvtE9jHXaPNAv0oWN57we6H4h9Q0lAizM3Jm+P57022w7D2aZ4HhJot78Iy5U4gNgv9Yvrh96rfHQ8dqD6A8anjPdod33dE2uB7j3orWZaRX5svzGVFZgXNv3Xle69/VH+YDCY0WTsqtP5a+iumZfMmdApOtYrz9yhjlFfvL8PapyEFKCDeF7CWWw8lJSUhLy8PMTExMJvNOHDgACoqOrKCf/nlF0yYMAELFy7E2Wef7XQfygByfHy8W68dFyfeXV5fX6/axp/77uypp57CX//6V7f23Rck2sQL/GWN1Vi5cqVGq6Fgs8gsZosMxEB89cVX3T7P1FqB012UZqXAGNhqwfeRJsf4gBtBccluxbcrFqMpPMWfS6Mg8dVX3b+XvTWgfA1Gd79ZUCtVBJ8lWUa6NfBloDMVr1lq0LvYsufqS/ZjLY8B/M6f7z13NNpdB8UrKivw5c9iP+FIW6THx4aTCn5vy0ymoJJmVQTF9eLnyf6tP2J3mRel8kOE1u+9YPe++X1hnKnPRMH6AhRKhS6e4ZzO3opzmmt8uDIKlJ9WL0FNVB4MDeIx0Pfbv0fsAe9arPB9R6QNvveot2mwNwhVTAAgf3M+arcG1424nd976UhHPjoC+Z9t+AwNv6n7NhMFg00tm4SxtcHqVYxoVk0xur8CTe5iUNwLxx9/PK6++mrMnDkTAwaoS4ps3rwZTz/9NBYtagt8NTU1Yd68efjxxx8xduxY1fZms1kYm0wm1TbOKLdzFrj25747u++++3D77bc7xnV1dcjJyYEcHgc5QtfFM3unBHuzMDZLVsycOdP9ntHUa5ktZixYvECYu2TCJTij/xndP7mmCPhdnJIj4gBFzojFYoHRjWAteW6A4hDkYHg45Ih4xVYyJMWdgCdPnwYk5Pp1baQti8WCr776Cqeddprf3n+6jYeBwx1jWdID4aHVeqY4XDz0TLHLMETEI9BFmTIVh8DFYSbIET5aha0VUqes4diYKMyaNcs3+yaVQLz33FHeVI4nP33S6WOx8bFIy0oDfuuYG5w2GLNO9uzfhf79N4BOh+SywQQYwr1ZLvlQqixhV6fxUWMYgI4Lc4PyBmKgh3/rUBAs771gVt1cjQWfLhDmrjr+Kpw16CzPd2ZpBBRtM+XwGEDy301d5B1JcfPC5BMnQc4ah8PbD2Pb9k5/xERg1gzPPhv4viPSBt971FttLd8KdLrXw6gz4pKzLoFeFxzHF87eewe2HkD+zo6geEN8A2ad0vuOtal3qNpVBWzpGGelZHl8/AcAhh16oFOiuBwWDXjbm9xNrZYWCBcgehEGxT2Um5uLTZs2dbnN8ccfj08++QQvvfQSbr31VgBAY2Mjbr31Vnz//feq7ZUlEwxulvBUHog5K73gz313Fh4ejvBw9UU56y1bISX1vR56ie+cDcgdd/9bYUczmhFr9O5OcOo9NpVsEvqOGnQGTO833b0TK736BhPpjj2AseMmFovFglUrV2LWrFk8WfODgWVbgVV/cIwPGcNgvWsbjPpOv2trC/C4mMtn1OsA/j36BKPR6L/3nuLGKmnAScDlS/3zWn5Suut94JenHeOM9GMhXf1ewNeReeBz4IcHOtaVNgTSDT76Xf7+KfDJlY6hJMv8PA4Av7733CB30W/LJttQ1lwmzGXEZHixXvE1pNMeBU643sN9kK+lr38c2POxY1yWkgdUd5wv6iVA34s/A7R+7wWzNQfWwCp3HPeH68Nxdt7Z3v2+7OqL09Iffwbic3qyRPKHp3KAlo6KfQZd23lAXkKesNkh8yGv3zt83xFpg+896m0O1h0Uxv1i+iEiPEKj1bjW+b13bNqxeGvnW47Hfq/8HZJegsHPAUIibzTZm4RxbHisd98jitLp0hXLgKzjerK0LlksFny1aBGA+X57DS31vRTeALrllltw9dVXO8br1q1zGlCPiooSxs3NzaptnGlqEt9Uyv34e9/kWoKT+02qmqo0WAkFmx+KfxDG49LGIdrtXtPOLriz+kAgDYwfKIxtsg1F9UWKrfg3IX9RfgaE3r+1UnOpMM6MytRkHRlRYinj0oZSyLKv8tWVf5dA58GTFiw21zeQ2mQbjjQcEebSI9N7/qKsQBQU0iLThPFRe6tiC34G9FXLDiwTxjNyZnhw3K/k5N8RPwOClPPjgP6x/YXZEnMJWmwtAVoTERGR2rZysQzN8KThGq3EfaNTxKZyTdYmHKg5oNFqiLpW3ypmWkcZvY2xKc4FeB7QIwyK+9kDDzwgjL/44gvVNtHR4olxY6PrnoRdbRcToy6h6s99k2smnQEmu3gHT3VLtUaroWAhy7IqKD4la4onO1DPSfwYD6TYsFikmMTe4AdrxTtrnf5NFHf0EXlF+e8oBN//JQ0lwjgjWps+u1nRWcK4ydrku+9p5d+F7/8+oVUVCO1gs6uD4l7921d9BvBEOBikRorVYY7Kin8L/Azok/Jr87G9Yrswd07eOd7v0Nm/oxA8DugTlJ/N//vbKYPiMmQU1SlvriUiIgocZVB8TMoYjVbiviRTErKjs4U55c9BFCwaLGK/+2ijlzfI9oLrgcGEvz0/GzhwIPr37zj52b17t2qblBQxwFJaWqraxhnldsnJyQHdN3VB0iHRJn5YlTeWa7QYChb7avahrFEsn3pS1knu74AXw4LCwDgxW/xgDYPiFCC94CA4WDLFUyNToVf0YVWuzWsMivdJFnsAMsV7wWdAb5QWpcgUVwXFmSneF31T9I0wTopIwqTMSd7vkOcBocPFcUCkMRKpJvEmmsK6QhAREWmhurlaVflQmYUdrMakisF7BsUpWJktZmHsddUoXgvwKf72AiAjoyMTpKKiQvX4sGHDhHFhoXsnRsrtlPvx976pC5IOmVarMKUusUx9jTJLPDMqEwPiBri/A14MCwrKv5k6U9xJ5h6DYuQLveAgOFgyxQ06gyq7U7k2rzEo3id1VT69pqVGdTKsLOHvll7wGdAbKcun18lWNHU+FuBnQJ902HxYGE/NntqzXpesGBU6ujgOyI3LFR4qqCvw/3qIiIic2FO9RxhH6CMwJGGIRqvxzOhkMXj/W/lvGq2EqGvmVkVQnJniQYG/vQDoXIrcZDKpHh8xYoQw/vXXX93ab+ftwsLCMGjQoIDum7og6ZBrES+O5tfma7QYChbOSqdLnpQ+dRoUZ+nUQFP2FXceFHdeNpGoR0L8ILjZ2oyq5iphTqtMcQDIjBZfu8TMoDh5r6tM8ZqWGtWcMrvYLSH+GdBbKYPiAFCm71SJgp8BfVJFo3gzfI9vAuPNsaGji+MAZQl1ZooTEZFWlOe//WP79+wGvgBSZooX1BWgprlGm8UQdUHZpi82LNa7HfFagE/xt+dnLS0t2L9/v2Ocnq4ulZiTk4OBAzuCLN99951b++683ZQpU6DX61Xb+HPf1AVJQq5FzBTnCW/f1mBpwJajW4Q5j/qJA04uhkkMimtAWT69oLYA9u4OTnhBnHwhxA+CSxvU5cmVgelAUgbk/RcUZ+nkvqDV5rqnuFJiRCLC9GGev0iIfwb0VpHGSMQYY4S5owYGxfu6siaxZVKKKcXFlm5iUDx0eBAUL6gtCMCCiIiI1A7Xi1VttDw399SQhCGI0EcIc79VMFucgo+yjZqzG6q7xYpRPsffnp8tWbJEyBSfMsV5EOz88893/P/atWtRVNR1qe2ioiIhcD1nzhyX2/pz3+SCk0xxlkbr29aXrodV7rhRwqAzYELGBM92wovhQSEvPk8YN9uaUWwuFjdiUJz8QXkgHGI3xSh7dseFxyHSGKnRatRZeyyfTj3RVaa4klel0wEeBwQxVV9xZor3ecpMcf8ExUPrOKDP6Kp8emyu8BBvnCciIq0oz3+zorM0WonnjDojjkk6RphjX3EKNo2WRlXVuPRodcJst3hzrM/xt+dHZWVluPfeex3jqKgonHnmmU63veqqq6DTtf057HY7HnvssS73/eijj8Jub3tDREdH46KLLnK5rT/3TS5IOlWmeG1LLaqbq108gXo7Zen041OPR5QxyrOd8GJ4UEiKSFKVuzlYoyyhzqAY+UGIfwYoT7q1LJ0OqE/6fZcpzvYJfZEnQfH0KC9OhIGQ/wzozVIjU4XxUUOn0pP8DOhzbHYbKpsrhbnkyOSe7ZQXw0JHFxVjlD3Fq1uqUdtSG4BFERERiYrrxeSOUAqKA+oS6gyKU7A50nhENZceyaB4MOBvzwM///wzbrzxRuzZs6fbbbdv346TTz5ZyMq+4447kJSU5HT7ESNG4LLLLnOM33jjDbz++utOt33ttdfw5ptvOsZ33nknkpNdn2T7c9/kgiQh02qFQZHVxzvB+yZZlvFj8Y/CnMel0wEnF8OZHaIFSZJU2eL7a/YrNxLHLJ9MvhDinwHKoLPX2bI+onx9ZSa71/j+75M8KZ/us0xxhNZnQG+mLIMnlk/nZ0BfU91SDZtsE+b8kinOz4Dg1MVxQGZ0JgyS2K+VFeWIiEgLyvPzkAuKJ4tB8R0VO2Cz21xsTRR4R8xiUDw+PN67aom8ydrnDN1vQu1aWlrw73//G//+978xZswYzJgxA6NHj0Z6ejpiYmJgNpuxf/9+rF69GitWrHBkWwPAaaedhgceeKDL/T/33HNYt24d8vPzAQDXX389li1bhosvvhiZmZkoKSnBRx99hGXLljmeM378eNx1113drt2f+yYnJB0MAHIsVuSHGR3T+bX5GJs6VrNlkTaK6otUvXQnZ032fEeq0sm8r0krefF52FLW0SP+YG13meK8IE4+EOKfAcrPQa17lilfv95Sj7rWOlUlCI+xUkSfFJhMccU4xD4DejNl+fQylk/v0yqaxNLpEiQkRiT2bKfsJRg6uqgYY9QZkRWTJdwsX1RXhDEp4oV9IiIif2q1taKsqUyY0/r83FOjU0YL4wZLAw7UHsCQhCEarYhIpLwG5v3N8TwP8DUGxb20bds2bNvmXlmOK664Ai+//DLCwsK63C41NRUrV67EGWec4cgwX7ZsmRCo7mz06NFYvnw5IiO7v8PEn/smJ/73wZRrsQhBcd4F3jdtKN0gjJNNyRgUP8jzHYV4QKw3Uf791JniDIqRH4R46eRgzxQH2rLFYxN7HhSXAbwdF4NVUVE4xqbDXZYGz1tmUEjxJFNcGUB1W4hXi+jN1OXTGRTvy8oby4VxYkQiDLoeXnph2cTQ0c15QP/Y/kJQnNXkiIgo0Jy1Dgu1TPGUyBRkRmUKbdp+K/+NQXEKGsqguM/aqAE8D+gh/vY8MGDAAFx22WUYNKj7YJbBYMDs2bOxZs0avP3224iKcu9C6LBhw7B9+3bcdNNNiI6OdrpNUlISHnzwQWzcuBGpqalOtwn0vknBERQX+4rzhLdvWl+6XhifkHECJG8uZId4QKw3GRg3UBjn1+bD3vnvw6A4+UOIfwYEW6Z4mD5MVc7WJ33FJR0+jY7CC4kJ2BUehsWRBry1462e75eCmieZ4j4rnx5inwG9map8ur5zT3FWi+lrlJniKZE9LJ0O8GJYKOnmPKBfTD9hzGsEREQUaMrz3rjwOESHOY8VBDNlpRX2FadgojzGY1A8eDBT3AP9+/fHu+++CwCoqKjAb7/9hvLyclRWVqK6uhoRERFISEjA4MGDMW7cOJhMJq9eJzY2Fi+//DKef/55rF27FoWFhaiurkZycjLy8vIwdepUGAze/en8uW/qpFOmeGcFtQUaLIa0ZJft+OXIL8LcCekneLczXgwPGspM8SZrE0rMJciOyW6b6KJsIpHXQvgzwGq3oqxRLM+WEa1tpjjQFpgvb+rI6DtsPtzjfdZZm/H3xHhh7vvD3+NPx/6px/um4GWxeVA+PdJHJ8Mh9BnQ2ymD4pV6HSwAjACPAfqgRmujMO5xWw6AF8NCSTdB8dzYXGHMoDgREQVacUOxMM6MCq3S6e1Gp4zGqoJVjjGD4hQsWmwt+KH4B2FOmWDlNp4H+Byjn15KTk7GjBkz/PoaJpMJM2fODLl9E1xmihfVF8Fmt0Gv0zt7FvVCu6t2o7alVpibmDHRu52xbGrQSDYlIzYsFnWtdY65AzUHOgXFmSlOfhDCAbGyxjLYZJswFwwn3v1i+gknzvm1+T3e5yuFy1GtF7/n99XsQ6utFWH6rlvpUOhyN1PcIBmQbEr27kVC+DOgt1MGxWVJQoVejwybjccAfZDVLp4D9rh0OsBegqGku0zxWDFTvKi+CLIse1dJjIiIyAvF9WJQPNRKp7cblTJKGBfVFcFit8CoM7p4BlFg/Fj8I8wWs2MsQcKMfl7GEhkU9zn+9oj84X8ntMpMcYvdIvQ6od5P2U+8X0w/77MjeTE8aEiS1HVfcQbFyR9C+DNAWZ7NZDAhPjxem8V0MjBe3QqhJ/ZV78NHxd+q5q12q/gZQb1Oq929nuKpkane3xwZwp8BvV1ceBzC9eHCnKOvOI8B+hzlTTK+CYrzYljIcKOneGcNlgZUNlf6e1VEREQOyvPzUA2KK6uv2GQbSs2lzjcmCqAvCr4QxselHYfUSC9bFfM8wOf42yPyh/99MCXY7YixiR9cLKHetyiD4l5niQO8GB5klMG0AzUHOgYMipM/KLPEQiijSNlPPCMqIygyogbEDRDGB2sPer0vWZbx9C9Pw+bi/b67arfX+6bg5275dK/7iAE8DghikiQ56SvOoHhfpQqKS/4Kimv/PUpOdHMekB6VjjCdWDmGJdSJiCiQis2K8unR2ldx80ZceBxiwmKEuUP1hzRaDVGbJmsT1h5aK8ydmXum9ztkxSif42+PyB/+98EkARig7CteVxD49ZAmWm2t+LXsV2HuhAwv+4kDvBgeZJSZ4gdqGRQnPwvhzwDlnejB0E8cUPd0qmquUrW8cNdXhV/hlyO/uHx8Z+VOr/ZLocHdTPEe/dtnG5Wgprzz/6jhf4FQHgP0Of4pn86geMhQnQeIFzJ1kk5VQp1BcSIiCiRlUDxUM8UBICcmRxh7EhRvsjbh/V3v453f30F9a72vl0Z91M8lP6PJ2uQY6yQdTu1/qvc75HmAz4XO1VSikNLxwaQsoc4T3r5jW/k24UtQgoQJ6RO836HqS5BfgFrKi88Txvm1+bA7/kbKv42Tu/qIPBXCnwHKTPFg6CcOANkx2aoMPm+C103WJjy/6fkut9lVtcvj/VLocDdTvEf/9lXVIngqF0zSohSZ4u3l03kM0Ocog+JGvQ/6WobwjXF9T/fnAcoS6rxGQEREgdJsbVa17eiLQXGL3YLrv7weT//yNJ7b9Bz+8u1fIDvLyCXyUFFdkTAekzIGyaZk73fI8uk+x98ekT90+mDqbxEvirB8et+x8chGYTwscRjiI+J7sEdeDA8meXFiULzJ2tRxty0zxckvQvczQJkpHizl2Yw6IwbEiyXU/7PjPx7v5z87/qMK/M+pMwvjvVV7YbPbPF8khQRluWRXevZvP3Q/A/oCZfn0MpZP77NUmeK+KJ/O93/oUGbuOPkMUGaKKy+eEhER+Yvy3BwInvNzb3gbFP/v7//F1vKtjvGGIxt61E6NqF2LrUUYJ4Qn9HCPzsqnh06STDDimRSRP3S6SKHMFM+vyw/0akgjh+sPC+NjU4/t2Q6ZIRJUkk3JiA2LFeYO1vzvALqbsolEXgnhzwBnPcWDxbl55wrj9aXrsaF0g9vPP1x/GP/ZLgbST2hqxq3VNcJcs62ZLVR6sYAExVk+PailmFKEcSWD4n1WQMqnh9AxQJ/jxs2xubG5wpjHB0REFCjK0umJEYmINEZqtJqeUwbF82u7v+5+sOYgXtn6imrek+sARK4og+Lh+vCe7ZCZ4j7H3x6RPwhBcfGiSFljGRotjYFeEWmg0Sr+nXuWJQ6WTQ0ykiSp+orvr9n/vweZKU5+EKIXxGVZVpdPD6I70ecNnYdUk9gL+J9b/ul26bQ3tr8h9JPWSzrcW1mNRLsdaVbxGIB9xXuvwJRPD83PgL4iJixGGJt1//v78Ma4PodB8T7OjfOAfjFipvih+kOd2jARERH5j6qKW5C0NvOW8rpcQV0BaltqXW5vs9vw8E8PO72pmUFx8oVWW6swDtOH9WyHDIr7HH97RP7Q6YOpn9Wq6irGnmF9g/Lmh0hDD++85MWwoDMwfqAwPlBzoO1/3CibSOSxEP0MqGyuVN0pG0yZ4hGGCNww5gZh7rfy3/Dd4e/cev7mo5uF8cX9zsCg/1WJGd4ingyxr3jv1WRtcmu7jOge/NsP0c+AviLaGC2Mzbr/HQvwGKDPscqKnuI69hTvU9wIiit7irfYWnC04ag/V0VERARAnSkeTDese2N44nCE6cSg4/aK7S63/3D3h9hWvs3pY5uObmJfceoxZooHP/72iPyh0wdThCwjQxI//FgerW9QZor3uBwRy6YGHeUdqQdq24PizBQnPwjRC+KlZjFL3CAZVGWGtXb+oPORHZ0tzP1zyz+7zdqSZRlHG8WL2KenT3L8/zGtiqB4JYPivVV5U3m32ySbknt2QhyinwF9RXSYMijeninOY4C+xj+Z4qwYFTLcOA9INiWrbpgurOeN80RE5H/KoHhWTJZGK/ENo96IY5KOEeZcBb0P1R/CP7f80+W+6lrrUNZY5tP1Ud/TuZIgwEzxYMTfHpE/KIKVuXqTMGZQvG9QBcWZKd7r5MXnCeP82vy2IBqD4uQPIfoZUNIglmdLi0qDXqfXaDXOGfVG3HzszcLcvup9WJW/qsvn1bXWqTKE0zoF/Ie3iCXZdlftZnnUXqq8UQyKx4XHqbbpcRZGiH4G9BUMilM7ZTlOlk/vY9w4D5AkSZUtXljLoDgREfmfKigeFdpBcQAYkzJGGG8rUwfFZVnGX3/6a7cVvg7WHvTp2qjvUWaKRxgierZDBsV9jr89In9QfDD1lxRB8dqCAC6GtMLy6b2fMlO8ydrUdoLBoDj5gypLLDSqRSgzxYO1PNvM3Jmq9/TLW1922mus3ZGGI8JYgoRUU7JjPFyRKW62mFFcL16EoNBns9tQ0VwhzA2MG6jarsf9+lTfJaHxGdBXKMunWyQJLRJ4DNAHBaSnON//wcvN8wBVUJyZ4kREFACqnuJBen7uiTGpYlB8e8V21c3oi/ctxoYjYs/weUPnqbLMGRSnnvJ9T3FnJf15LtATjKgQ+YPiRDhXJ94RxEzxvkF596Hvy6fzI1xrSRFJiA2LFeYO1hx0cjGMPYnIB0L0M0CZKd7jwKCf6HV63HLsLcLcofpD+Gz/Zy6foyydnmxKhlHf0Ts21WZDos0mbLOzamfPF0tBpaq5SnXRxVlQvEf9xIGQ/QzoK5RBcQCol3Q8BuiDVEFxyR+Z4rwQFrTcPA/oF9tPGBfVFflrRURERADakneqW6qFuVAvnw6oM8XNFjMO1BxwjI80HMHfNv1N2CY9Kh23HXcb8uLECpAHaxgUp55ptjYLY/YUDz787RH5g7J8uqKneGFdIWReIOv1GiwNwjjKGNWzHfJiWNCRJEmVWbq/Zr/6b8MsMfKFEP0MCJVMcQA4OedkjE4eLcz9a9u/VCc17ZSZ4mmRacLfRQIwvIV9xXs7ZT9xvaRXZQACPihNyJ7CQS0mLEY116DT8RigDwpIpjjf/8FLdR7g/LxflSlex0xxIiLyL2XpdCB4b1r3RGpkqurnaO8rLssyHl//OMwWs/D4I5MeQXRYNAbGizczM1OcekqZKc6gePDhb4/IH5SZ4oqgeIOlARVNYplN6l2sdquqh0jPy6fzYngwUvYVP1BzgOXTyT9C9DNAmSmeEdXDbFk/kiQJtx53qzBX1liGj/d87HR7ZVA8PSpd9XdRllDfVcWgeG+j7CeebEp22lO855niofkZ0FeE6cNg1BmFOTOD4n2Sf4LifP+HDDdvjs2OzhbGyuozREREvqYsnZ4UkdTzfsdBQtVX/H9B8ZX5K/Hd4e+Ex2bnzcaUrCkAgAFxA4THGBSnnlLGA/xSPj1EkmSCFc+kiPxBcZEiHQZE6FlCvS9Rlk4HWD69t1IGxdsyxVk+nfwgRD8DShtCJ1McAE7IOAEnZJwgzL2x/Q2YW82qbZXf5WlRaeqguCJTfHfVblaL6WXKmsqEcWpkqio4CgBZ0T3NFA/Nz4C+RJktXq+TGBTvgyx2izB29nngMb7/Q4ebN8emmFKEcZO1CY2WRn+tiqhXMLea+T4h6oHD5sPCuDeUTm+n7Cu+rXwbKpsq8fQvTwvzSRFJuHv83Y6xsnx6VXMVappr/LZO6v2UQXHfZ4pLDIr3EM+kiPxBcSKsg6zqGcageO/m7ETNZDD1bKfMEAlKyqB4fm0+7MpjE14QJ18IwQvizdZm1LfWC3OpkakarcZ9tx4rZovXtNTgnZ3vCHP7qvdhTdEaYS4nJsdJprgYHKlqrmI2WC/jLFPc2c1xPa6SEKItFPoSZV/xtvLpvAmmr2H59D7OzaB4kilJNadsx0HU11nsFmw8shEvbHoB5y89H5M+nISJH0zEtauvxf7q/VovjyjkKDPFe9zeKYgoM8Xza/Nx37r7UNNSI8w/OPFBoapXdky26gZGZotTTyjLp/c8U5znAb7G3yCRPzg5EVb2DCuoLQjceijgGq3qoHjPy6fzYngwUvYUb7Y1o1j57cqgOPlCCB4IVzZXquaSTckarMQzo1NG4+Sck4W5d3a+g+rmagBtfcme3/Q87J3+JhH6CJzW/zTV3yXbakWMIlDGvuK9S1mjOlP8xMwThbmMqAxWjOkDooxRwrie5dP7JGVQnJnifYybQfFIY6TqM4Mt1ojabjb8dN+nuH3t7Zj60VRcvfpqvPX7W20V2QDIkLHhyAb8YdUf8FPxTxqvlii0qILivShTfGjCUFVG7s+lPwvj0/ufjlP7nyrMGXQG1TX7A7UH/LNI6hNUmeI6H2eK8zygx/gbJPIHJyfCubG5whQzxXs3ZVDcqDPCqO/hBTF+CQalpIgkxIbFCnMHdIqsMF4QJ18Iwc8A5cXdcH24KpMyWN1y7C2Q0HHzUYOlAV8XfQ0AWFe8Dj+ViBfhrhp5VVsWvOLvIgEYprh5hn3Fexdl5n9aZBqyY7Jx4ZALAQBhujD8+bg/9/yFQvAzoK9Rlk9nT/G+ySqzp3if5mZQHFDfKMigOPVFsizj94rf8c9f/4mLll2EGZ/MwMM/PYyvCr+C2aJuX9TObDHjpjU3YeGehQFcLVFoKzYXC+Ngb23mCaPeiBFJI1w+Hhceh/tOuM/pYwPjBgrjgzXMFCfvKTPFfV4+necBPeaDszMiUlFm8MoyBsQNEKYK6woDuCAKNGX59B5nhwH8EgxSkiRhUPwg/Fr2q2PugGTH9M4b8YI4+UIIfgYoL+4mm5IhhUiVi8EJgzElawrWFa9zzO2r3geL3YLnNz0vbJtqSsWVI65sGzj5uwyPH4KN5VsdY2aK9y6qoHhUGgDgkUmP4JqR1yDCEOGbCgmsGBP0lDf9mNlTvE8KTPl0vv+DlgdB8aSIJOG6AIPi1NfsqdqDO7+70+ukEZtsw2PrH0NRXRH+cvxfoNfpfbtAol5GGRTvTeXTAeD4tOOFa3Od3TP+HpfnZAPjBwKdLtPn1+b7Y3nUR7TYxUxx35dP53lATwX/1VSiUKS6IC6rSrEcrj8Mi80C6p2UvUR7XDodCMmAWF+h7Ct+QGdTbMF+ouQDqiyx4D8QrmwSy6c7658ZzEanjBbGBbUF+GTPJ6qT5D8f/+eOm5+cBcUTmCnemx1tUGeKt8uOyfZdywAeBwS96DBlUFwHHgP0PQyK93FOrgW4ovx+UB43EfVmFpsFd39/t1sB8eGJw3H96Ovxr1P/hVP7nap6/L87/4vb196uSk4gog71rfWoa60T5npT+XQAqhZo7U7KOglnDzzb5fPy4hTX9Fg+nXrA95nirBjla8wUJ/IHZ+XT43KFKZtswyHzIVWJFuodGiwNwljZL84rvBgetJRB8f2SeDGUWWLkEyH4GaDKFI8I/n7inSm/u3dV7cLOqp3C3IikEeIJtrOguOIk+2jjUVQ2VYbcTQKk1mhpVF1c6hwU9xlZhiqwEgKfAX2NMlOcPcX7JotdvPHZIPkjKM73f9DyIFM8JTJFGJc3lftjRUQuNVoasXjfYlQ3V+P8wecjJyYnYK/9we4PcLDWeYniaGM0JmVOwklZJ2FK1hThvTIpcxL+b8v/4fXtrwvP+ebQN7hq9VV4acZLbS2NiEig7CcOABlRGRqsxH9GJI9AqikVZU1ljrkYYwwenvRwlxXrlNVdjzQcQYOlwTfXcqlPkWUZzdZmYS7cwPLpwYa/QSK/UJZPtyM2LBaJEYnCdGEtS6j3Vqry6f7IFFf+OyPNKIPi+bBB+Gvxgjj5Qgh+BigznnyWMRsgA2LFk+OalhrUttQKc3eNvwu6bk5KcqOzEKGPEOZ2V+32zSJJU2WNZao5v1yIVd4dDvBkOAglRCQI4wq9nscAfVBgMsX5/g8Zzj6//4c9xUlrz258Fs9ufBavb38d1315Hcytrnt4+1J5Yzle3faqav7KEVfiP2f8B99f/D1emP4Czh98vurmEZ2kw63H3YrHJj+m+nzdWbkT81fMx56qPX5dP1EoUpZOTzWl9rysc5DRSTrMHTrXMZYg4empTyM9Kr3L5+XG5arO6VlCnbxhtVshK25mZ0/x4MPfIJE/uLg7PDc2V5j2tm8SBb9GqxgUNxlNPtgrM8SC1aB4sTRysySj2NCpnxkviJNPhN5ngPLibqhlRveL7dfl48MTh+P4tOPFSSd/Fz0kDE0cKsyxhHrvoOwnHhsW21FK36cYFA8FyioBRxkU75P8EhQPwWOAPsvDnuKdObvRishfGi2NWLp/qWNcbC7G0gNLu3iG77y4+UVVdb33Zr2HO8bdgfHp42HUGbvdx3mDzsNrp72G2LBYYf5o41FcvupyfH/4e5+umSjUqfqJ97LS6e2uGXnN/7d354FRVXffwL93luwhIQkhCYQl7CCIIouAgAsi1g2xbnWpYtVitX2r1tqntra1Pq1WW7V9qrWKBa2K+76CLCo7skPYCZAAIQnZl5m59/0jyWTOvTPJZObeuXNnvp/35WnumTt3jpOcu5zfOb+D+8+6H3OHzMULs17AtL7TunxPoj0RfdP6CmWBMlkQdabZ06wpCzsornkOiP4JMtGOT1JERggUFFelYWVQPHZFZKY4O8OiRnZSNjISM4SyfU6fEbedzBAhCpoFzwEnm1Tp0y02UzzZkYyC1IKAr/sNmvv7vSgyRmSNEIp2VjAoHgvUQfHeqQakTgf8B1UscA6IN+rf/3EHg+LxyK1wpnhc60ZQXD1z7Vj9MSNqROTXxhMbNeerhdsXQjb4urXpxCZ8sP8DoezyQZfj9F6nd/tY4/PG4+WLX9akfW9wN+DupXfjsXWPaZa0IIpX6vTpBWmBn3OtzGl34qZRN+HhyQ9jfN74oN9XlCkub7r/FIPi1H3+guJhZ2Tgc4Du+A0SGSHYmeLVByNTH4o49UxxXWaNqQOrvAhGDUmSMEi1ZvC+BJ8OUHaIkx4seCOsnvFktZniADA2d2zA19SjyQEEDopnq4LinCkeE47Xi0Fxw9aw9BsU5wjxaKOeKX7Kbkcz7wHijnqmeDAzHrtkwXuAuNWNoLh6LdealhrN7Fkio6wtW6spK60vxecHPzfsMz2yB4+ueVQoS3Om4WfjfhbyMQdmDMQrF7+CM3LPEMplRcaiHYvwwtYXQj42USxRzxTvbPB3PCrKEIPi+6r3mVQTsrIWT4umjOnTow+/QSIjBHgQ7t+jv1DMmeKxKzIzxdkZHk3U64qLM8XZIU46sNiNsMvj0gQMrfjgPXvg7ICvqWelAAh6pvjh2sOoaakJt3pkMvVM8byUzterCxlniluCOigOACfgMaEmZCauKR7nwpgpDnC2OEXOmmNr/JY//d3TcHmMmV391p63NAND54+dH3Y2qZ5JPfHvC/+NiwderHnt3b3vQmHmNiJNULxvup8B3nFMHRTnmuIUCs4UtwZ+g0RG0DwIt96Aq9OnVzZVskM8RmlmijN9esxTB8X3JvjMCmJQnPRgsXPAsfpjUFRrH1lx3bIpBVM0yyO089uRECAoPjhzsCYwUlxZrEcVyUTqgR/+gqK6YFDcEtIS0pBqE2cCHGdQPO4YM1OcGaMsoxtB8SRHErKSsoSysvoyI2pFJKhurg64lM/h2sN4c8+bun/mqaZTePq7p4WywZmDce3wa3U5foI9AX8650+4Ztg1QvnRuqPM0ERxT1GUuEmfHip1n97h2sN+A5xEnVH/zdgkGxxSmANkLdYXaAX8BomMoJ7B29aJUZhWCLtkF146VH0oUrWiCGp0Nwrbqc7U8A/Ki2BUU99AH3A64P2NcWQ66cFiHeJH6o4I2+nOdPRI6GFSbULntDs1nWvtgg+KK3DanRiSOUQo3lGxQ48qkolMXVMczBgTjXIT0oXt4xIHxsUTWZHhUcSBEIbMFGf7j14BBsgHop4tzqA4RcL6Y+s1g1d9Pbv5Wd1T+T/z3TOobq4Wyh6c8KA+A4faSJKE/5n4P+iTJg7E/fLQl7p9BpEV1bTUoM5VJ5Sp20m8G5gxUNiWFRmHathnT92jTp+eaE+EFG6mVz4H6C66e1OJrCrA6HCn3am56WAK9dikfoDUZ01xBsWj2eDMwcJ2k82Go462QTCcKU56sNgSCuqR6FacJd7ullG3aGZypTnT/M8KDhAUB4CR2SOF4l2Vu3SrI5lDExTnTPG41ztBzCzBoHh8Uc8SB4xKnx7d9wBxrRszxQHtuuJldQyKk/HUqdPVgenKpkr8Z/t/dPu8HRU78MbuN4SyC/tfiAn5E3T7jHaSJOHCARcKZd+UfqP75xBZiTp1uk2yGbfsk0WlOlM1A9X2V+83qTZkVeqZ4mGnTgcYDzAAv0EiI3TyIKxOoc41SmKTek3xZEdy+AflRTCqZSdla1Ise9cVZ1Cc9GCxc4D6wduK64m3S0tIw/MXPo++aR0zw3805kf+Ax0B0qcDwPCs4UJxoLSVZA0tnhZUNlUKZQyKU++ETGH7hMRsMfEkckFxtv+oFW5QnDPFKQLWlq0VtuePnY/pfacLZS9tfwknG0+G/VmKouB/1/yvMDM92ZGM+866L+xjB3JOn3OE7Z0VOzX3bETxRD1gPTclF067flkaYoV6XfH9pxgUp+5RB8UTVUtrhcRiWSOtgN8gkRE06dN9guI9BggvldSWRKBCFGmaNcV1mSmuvghyhkg0kSQJgzICrCvOoDjpwWLnAE1Q3OJrlg3tORQfzPkAiy9ZjHcvfxe3nnar/x39/V7azgEjskcIxQdqDmgGUZF1nGg4oSkzLn26n8AqH4ajUq5qmQjOFI8vLtmlKQt7HUGAnWFWor4N6CJ9ujoorr5/ItLbycaT2Fe9TyibkDcBPz3zp7D5nFsa3Y14bvNzYX/eh/s/xKbyTULZbaNvQ35avv836GBsr7HCxAQFCtaUrenkHUSxTX1tYep0/zRBcc4Up24yZqY4nwP0xm+QyAidjA7v36O/8BLXJ4lN6iBHioPp0+OBel3x/U4GxUlHFjsHqEej+11/22IcNgdGZI/QtHVBJ0HxoT2HCp2NsiJjd9VuvatJEaJOnZ7iSEGaM82YD2NQ3DLyEjOF7eP8NcUVzhSn7s4UL0wvFLYP1x7Wu0ZEAnVwONWZipHZIzGk5xBcNugy4bU3d7+JkprQJ3LUtdThyQ1PCmWF6YW4edTNIR8zGE67ExPyxNTs3xxlCnWKXwyKB6coUwyK7zu1L8CeRP6pl1NNciSFf1Auo6Q7PkkRGaGbQXGli9HjZD3GzBRnZ1i0UwfKOmaKs42TDix2Doil9OndFuA+INmRrBl9znXFretY/TFhOzclF5JRD6hMn24ZvRN7CtsMiscXBsUp3KD4ycaTzCJDhlp7TEydflbvs7znqbvG3oVEe0eqV7fixtPfPR3yZz27+VlNCvYHxj8gfIZRzi44W9heVbqKfW8Ut9QD1q2exc0o6mf1QzWH/N7bEQVS0VghbGcnZ4d/UD4H6I7fIJERuhEUb3Q3oryxPBK1oghqdDcK2/rMFGe6lGg3OHOwsH3A6YAMcKY46cNCN8LNnmbNtS2uHrw7uQ/QrCteyXXFrUq97qs6Ba6u/AbFOUI8GuWq1hQ/KSnsTIsjbkX7u3badFiz00L3AHGvm0HxPuna2XpH6o7oWSMigXqm+MT8id6f81LzcP2I64XXPzv4Gbad3Nbtz9l/aj9e2fmKUDat7zRML5we4B36mlwwWdg+0XiCsz4pbnGmeHDUSyK6ZBeXNaFuUQ8Ey0nOCf+gfA7QHb9BIiN08iCcm5KLJLuYOoMp1GOLR/ZoguKpztTwD8x0KVFPPVO8yWbDUYedQXHSh4VuhNUj0YE4e/Du5D5gRJa4rvjOCgbFrSqiMy44U9wyeieJM8VlSdLMGKDYxZni1N2geLIjGb2SewllTKFORjlSe0QT4FGnGZ932jykJ6QLZX/d8NduzbJWFAWPrnlUGCjktDnxwPgHQqh1aAb0GKDJVPVNKVOoU/xRFIVB8SBlJmUiKylLKONgGuqOk02qoHgSg+LRiN8gkRE0J6eOhwebZEO/Hv2EVw/WHDS+ThQxTZ4mTRnXFI8P2UnZyEjMEMr2ORPgew4gCpmFzgHqYGFGYgbSEgxaazkadXIfMCJbDIrvObUHLZ6WCFSK9FZaL/6dc6Y4AUBPZzqcqsCBev15il2RC4qz/UetTu4BAlGnUD9Sy5niZIx1x9YJ2z0Te2JIzyFCWUZiBn40+kdC2dpja/Ft6bdBf85HBz7CmmPijPQfjvqhpi/MSJIk+U2hThRvqpqrNBN3GBQPbGDGQGF7f/V+k2pCVhSZmeJ8DghX9PamElmZZnS4+CCsTqFeUlNidI0ogupd9ZoyrikeHyRJ0qRb2pvg5Exx0oeFllCI+5Ho3Uif7pbd2HtqbyRqRTorqxPTp3OmOAGAZLMj1+0RytTrz1PsUgfFbZINNj3aqoXuAeJeN2eKA0Df9L7CNmeKk1FWl60Wtsfnjfd7jrp+xPXIS80Tyv664a+Qu/h7lhUZS0uW4vF1jwvleal5uG30bSHWOnTqFOrrj69Hs6c54vUgMpN6wLpdsiM3Jdek2kQ/dZ/egeoDJtWErOhkgxgU55ri0YnfIJER1CN2VCevAT0GCNucKR5bGlwNmjLOFI8f6hTq+50MipNOLHQOYFA88OC49IR09EsXZ8nsqtwViVqRjhRFYfp08k+yocAtBkaXH1luUmUo0tRBcV3WEwc4Q8RKQgiKc6Y4RYKiKFh7bK1Q5rueuK9EeyLuGnuXUFZcVYyP9n/kd3+37MZH+z/C3Pfn4qdf/RSVTZXC67+a8Ct9Jgp008T8iULQv9nTjA3HN0S8HkRmUj+b56Xm6ZPFJkYVZRYJ20yfTt2hTp/eK6VXgD27wUJ9gVbBb5DICF08CKtTRnFN8djS4BaD4g6bA067Dh1ivAhagjoozpnipBsLdYirUxMyKC7+7tSzxXdU7DC6RqSzquYqzXIp6nUrdcWguHVINkxtFFNUfn7wc9S01JhUIYokl+wStnXrdOZzgHXoEBTnTHEywoHqA5q0roGC4gBwadGlGJw5WCj7+3d/F5b9afG04I3db+DSdy7FL1f+0m/2oxmFM3Buv3PDrH1oMhIzcFrOaUIZU6hTvFEP5I27Z/NuKsoQg+L7q/dDUWfsIfKjxdOC6uZqoUyfNcWZMUpv/AaJDNG9meKHaw/7XX+OrEk9U1yXWeIAtOvRRW9ALJ6pOw4OOB2QZU+AvYm6wxrngOLKYuys3CmUddbhFps6vw9Qryuu/r4o+qlTp9sluz6jwAPy0xHDh+EoJeGy2no4fDovmjxNAWfXUWxRP9PpNxOLnWGWFURHujooXlpXyv4B0p16je/eKb012Yt82W12/OzMnwllpfWleL34dTS4GrBw+0LMfms2fr/q9zhS5z+7wajsUXj47IfDrXpY1CnUu7M2OlEsUC/jo14agUTqoHiju5FLIVFQ1FlSAJ3WFNc8B0RnX6CV8EmKyAhdjA5Xrynult0oqxc7V8m61DPFdUsTxhkilqCeKd5ks+Gou86k2lBMscg54KXtLwnbuSm5ODv/bHMqY5YullEZmTVS2N5duRseDp6xlNJ6ccZF75TexqYh9BdUidJzQNyTbMiRZZzbIM4Wf2v3W5xlEgc0M8UlzhSPOzrMFHcrbnbAk+7WlmlTp0tddKxP6zsN43qPE8oeW/cYprw6BY+vfxwnGk/4fd/gzMH40zl/wssXv6zPeqphUAfFd1ftRnlDuUm1IYq8Ew1iO+2d0tukmlhDbkou0pxpQtn+6v0m1YasRL08rkNyoEdij/APzOcA3fEbJDJCFw/CmYmZSE9IF8qYQj12qIPiqY5UfQ7Mi6AlZCdlI0PVAbrPxZSppAMLnAP2ndqnmQ05Z/Ac2G12k2pkkq7Sp2eL6dObPE2aByiKbuo0hPlp+cZ+INOnW0fb7+WqWnFAXHFVMbZXbDejRhRBhs0Ut8A9ALUJISiemZip6YBnCnXSk0f2aNYTn5A3ocv3SZKE/zfu/2nK3Yr/TAajc0bj6XOfxluXvYXvFX0vKtYtHp0zWtO+VpUxhTrFD3VQPDcl16SaWIMkSX5TqBN15ctDXwrbQ3oOgU2Pe3Y+B+iO3yCREbp4EJYkSZNCnUHx2FHRWCFsJzuS9Tkw1xCxBEmSMMgmDoTY62ZQnHRggRvhf2z6BxSf1E6pzlTcMOIGE2tkki7uA7KSsjRp67iuuLVEfG0+BsWto+33MqmxCX1cYtDgzd1vmlEjiiD14FgGxeNQCEFxSZLQN72vUMagOOmpuKoYNS3iM2mwyxud3ut0XNDvgk73mZA3Ac9f+DxeufgVnNvvXH2CADpx2Bya/1amUKd4crzhuLDNmeJdG5gxUNjed2qfSTUhq3DLbnxx6AuhbGb/mfocnM8BuuM3SGSEIB6E1SnUGRSPHeoHrH49Aq/T1S2aiyDXEIlWg+1iUHy/u9akmlBMifIb4Z0VOzUPATeNvAmZSZnmVMhMQdwHDM8SZ4svLVlqZI1IZ+r06fmpZswU531AVGpr/zYAc+rE2eIfH/gY9a56EypFkbKmTFyztyCtQJ8Da84BbP9RK4SgOKBNoX6k1v8azUShUKdO79+jf7fWFb7nzHvgtDk15TP6zsCi2YvwwqwXMCl/Upfp2M2iTqG+qnQV5CDbJpGVeWQPTjaeFMpyUzlTvCvqZREPVB8wqSZkFeuPr9esKT5rwCx9Ds7nAN1FV28qUazQPAhrd1EHShkUjw0NrgasLl0tlE3vO12fg0d5QIw6FDnE9Gx7GRQnPUT5OeDvm/4ubPdI6IEbR95oUm1MprkP0N4InN7rdGH7y5IvsaV8i5G1Ih2V1ZUJ27oFvgLhg7B1+AQErqith92n/Te6G/HJgU/MqBVFgKIoWH54uVB2Tp9zdDp4dN8DkI8g7gH84UxxMtKaY+KAnWBSp/samDEQz5z3DCbkTcCwnsMwZ/AcvHnpm3jm/GcwNnesjjU1hjooXtlUieLKYpNqQxQ5FU0V8CgeoYwzxbumTp++r3oflCCv5xSfPj3wqbA9ImuEgZPk+BwQLn6DREYIYnQ406fHplVlq9Ait3i3HZIDU/pM0efgvAhaxmBHurC9112rGZ1L1G1RvITCphObsOLICqHsltNuQXpCeoB3xLgg7gOuHHIl0p3i9/ParteMrBXpyPSZ4lHU/knF53fT2+PBOY3NwstMoR67dlTuwIlGcd3O6YV6DY5V3wNwYEzU0mmmOIPipBeX7MKG4xuEsgn53QuKA8CUPlPwwqwX8OZlb+L3U36PYVnD9Kqi4fqm90W/dDE4wRTqFA/U64k7JAeykrJMqo11FGWKQfHq5mrNLGCidi7ZhS9LxPXEdZslDrAvwAD8BomMoO6kCCJ9emldKVo8LZr9yFqWHV4mbI/rPQ4ZiRn6HJwXQcsY7siAw6fz0gUFz2953sQaUUyI4nOAepZ4VlIWrh9+vUm1iQJBzBLLSsrCraNvFcq+OPQFaluYWSLa1bXUaX5PEZ8pHkXtn1RUv5ur6sQ1prdXbMeuyl2RrBFFiHqWeP8e/TGwx8AAe3cTzwHWoWNQnLPSSA/bT25Ho7tRKBvfe7xJtTHP2QVnC9sMilM8OF4vrifeK6UXbLyH6FJBagES7YlC2f7q/SbVhqLd2rK1qG6uFsoYFI9u/AaJjBBCUFyBwtHgFueRPZqZkjMKZ+j3AVxT3DIy7Am4rE5cM/SN3W9o0u0SdUejImNBRjrm5eXiz1mZaFZcZlcJQOsDgHoN1dtG34YUZ4pJNYoCQdwHAMCcwXPgkBze7SZPE1YeWWlkzUgH6vs1CVK31uUMCR+ErUPV/qc0NGrSVHK2eGxSD46d3ne6fuvr8hxgHUHeA6ipg+IN7gZUNVfpVSuKY6vLxOXdhvQcguzkbJNqY54pBWIGv40nNqLB1RBgb6LYUFYv9kExdXpw7DY7BmaIAxv3ndpnUm0o2n16UEydPjpntGZZnLBEcdZIq+I3SGSEIEaHpzpTkZOcI5QdrDloYKXIaFtPbtWk09EtZSLAi6CVSDbcWVUNp+9scdmF57Y8Z2KlyMpcsgu3ZNjxZFZPrE1OwssZPfDEwQ/MrhYURcEz3z0jlOWm5OLqYVebVKMoEWSHeHZyNibmTxTKdlftNqpWpJNDteKSN/mp+ZqZBLrjPYB1qH43DkXGnCFzhLKP9n/EjvgYc6z+GHZW7hTK9B0cy3OAZWjuAYKb7Z2XkgeHzSGUcdA86WHtsbXC9sS8iQH2jG3j88YLg1Hdshvrj683sUZExjtSd0TY1jVQF+PU64rvPbXXpJpQNHPLbnx1+CuhTNdZ4gCXUTIAn6SIjBBkyjT1bPGSmhKjakQRoJ4dMjhzsGbEf1g4Q8Q6JBvyPR5cVVMnFL+7910cqjkU4E1Ega04vALbnWKbf+vYKtPXtfr66NfYVL5JKLtjzB3GBwijXTdSpw7NGipsMy1b9DtULZ7H+/XoF2BPHTEgZh2a342COYOugISOzos6Vx0+P/R5ZOtFhlKnTu+R0ANn5J6h3wfwOcA6QkyfbrfZ0Setj1DGoDiFq8ndhE0nNgll6gGZ8SItIQ1jeo0RyphCnWLdkVoGxUM1OHOwsM3ndPJn04lNmtTpM/vP1PdD+BygO36DREYIMSjOYJm1qYPius4OAXgRtJK2383t1dVIkjt+bx7Fg39u/qdZtSIL+7r0a01Zi+LGG8VvmFCbVv5mifdJ64M5g+cEeEcc6UaH+KCMQcI2H7ajX0mtOIhRfT9nCN4DWIef301Baj6m9BHTtr61+61I1YgiYNmRZcL2OX3P0cz6DQvPAdYRYlAcAPqmicEKBsUpXN+d+A4uuWPJJZtkw7je40yskbkmF0wWthkUp1inCYqnMSgerKJMcaY406eTP+pYwPCs4ShIK9D3Q/gcoDt+g0RGCDEozvTp1nW07ij2VYs3SPoHxTlLzDLaUtnkeGRcp5ot/vH+j7Gnao8ZtSKLUhQF3xz9xu9rrxW/hhZPS4Rr1GppyVJNqtg7T78TTrvTlPpElW50iKvTsh2uPYxmT7MRtSKdqO/XzAmKM2Va1PJ3f6bIuGrIVULRpvJN2FvFNIyxoMHVgDVla4SyGX1n6PshPAdYRzhBcdUMPnUwg6i71KnTR2WPQnpCukm1MZ96gNqB6gMoqysLsDeRtSmKwvTpYVDPFK9sqkRVU5VJtaFopCiKJnW67rEAgM8BBmBEhcgIftIm+sP06bFDHbDqmdgTo3NG6/shvAhah8854NbqGqTC7t1WoOAfm/5hRq3Iog7UHEBZvf/OmpONJ/HZwc8iXCPAI3vw901/F8oG9BiAS4ouiXhdolKQ9wGAdgS6rMjMHBPl1PdrDIqTwO+gRQXTCqchOylbKJ3z/hyc/8b5WLRjUWTqRob4tvRbYSamQ3JoAi9h4wwR6+jGPYCaeuktzhSncKkH7MRr6vR2I7JGICMxQyjjbHGKVScbT2oGW3OmePD6pPVBgi1BKONscfJ1oOaAJotcZILifA4IF79BIiNoRocHCIqni52o5Y3lqHfVG1UrMpD6QWpSwSTY9L5I8SJoHT6/m0xZxk0J+cLLS0qWYHvF9kjXiixq5ZGVnb6+aMciKAGuM0b55OAn2HtKnOE4f+x8fVPFWlk3ZomlOlORl5onlBVXFhtRK9JBVVMVTjWfEsr6pUdiTXHeA1iGvwELigynzYkrBl+heelEwwk8tu4xbDu5zfi6kSHUaRPH5Y3TfyYmzwHWEcZMcQbFSU+1LbWaZ84JeRNMqk10sNvsmJQ/SShjUJxilXqWeIItAb1SeplUG+tx2BwYkDFAKGNQnHypnwFyk3MxMmuk/h/E5wDd8RskMkKQD8KFPQo1ZUyRZj0u2aUZgT21z1T9P4gXQetQ/W5ucvbWjEhXr8VMFMjXR8X1xLM8HmF7Z+VObDi+IWL1ccku/N+m/xPKhvYcilkDZkWsDlGvmx3iw7OGC9s7KnboXSPSiXr5iwRbQmTSEPIewDoCpE8HgLlD5gZ827t73zWoQmQkj+zBiiMrhLJzC8/V/4M0yygxW0TU0jEofrLxJBpcDXrUiuLQhuMbIPv8/TltTpyRe4aJNYoOUwrETB6ry1bDI3sC7E1kXer+5T7pffSfvBPjBmUOErbVy2ZSfFMHxacXTodkxD06+wJ0x2+QyAjqE2CAB+FEeyJyk3OFMvVIPop+W8q3oM4lrhs9uWCy/h/Ei6B1qH43abDh1tNuFcq+OfoNNh7fGMlakQU1uBqw/vh6oex/Tlai0OUSyiKZeve9ve9pZi79ZOxP+IDtK8iMMe1GZY8StplJInrtOSUGxQdlDopMhgTeA1hHJ0Hxwh6FAVPXfnbwM7g8Lr+vUfTaenIrqprF9SWn952u/wfxHGAdOq4pDrB/gEKnHrg/NncskhxJJtUmepxdcLawXdNSw3tvinp1LXV4YMUDuPDNC/HI6keCumdUB8WZOr37BmWoguKcKU5tKpsqsenEJqHMkNTpAJ8DDMBvkMgQwQXFgdaRer5K60qNqBAZSL2e+LCew5CTnKP/B2n+jjhDJHppzwHXDrtWs5bo0989HfG012Qtq8tWwy27vdsORcHkxib8oKZW2O+rw1/hcI3xKTabPc14dvOzQtnonNHG3fxbVvD3AYA2KL6rchdnrEQp9UzxwZmDI/PBfBC2EP/p09v9v3H/D0l2bVDiVPMpbCrfZGC9yAhfHf5K2B6cOdiY7BE8B1iI+h4g+Hv9ZEcyeiWLqW2ZQp1CteaYaj3xvPheT7xdXmoeijKKhDKmUKdopigKfvX1r/DxgY9RVl+G14tfx983/b3L96kHVUUku1WM0cwUZ1Cc2iw7vAwKOu7xkh3JAQc/h02TMYrPAeHiN0hkhG6MDu+TJgbFj9YdNaJGZCD1A9TkPgbMEgcA8CJoGX7OASnOFPxozI+E4g3HN+A/2/+Dx9Y9hsXFixkEIw116vRxTc1IUxRcUVuPNHuyt1yBgv/u+q/h9Xmj+A0cbzgulN19xt3GpIiysiAzxrQbmS2uO9XobsSB6gN614p0sPfUXmF7SM8hEfpk3gNYRiczxYHWQTBvX/42Hpv2GPJS84Td1JlBKLrJioyPD3wslBk3SIznAMvo5j2AmjqFOpdXo1BUNFZoBvIZ1llvQerMfqtKV5lUE6KuLT28VDMIb+H2hdhdtbvT93GmePjUQfGKpgqcajplTmUoanhkD17a/pJQNrlgMhLtiQZ9IpdR0hufpIiMEE5QvJZBcSupbKrUrP2qXqNKN5whYh0BzgHfH/p95KfmCy89seEJLNqxCH9Y/Qc8t+W5SNWQLEBRFKw8ulIom9rQCABIVRRc2WeG8Nrbe95GbYs4g1yvemw6sQkPffMQ/rbxb8Jr4/PGY1L+JN0/0/K6mTo1Ozlbc25gGsfopJ6xp+4oMQzvAayji6A40Br0mj1wNi7od4FQvv4Yg+JWsatyF2a+ORPH6o8J5erfqW54DrCOMNKnA9qZfJwpTqFYd2ydsJ3iSMGonFEB9o4/6qD45vLNhjxHEenho/0facrcihu/W/U7yJ1cYzRBcc4U77bC9ELNUllcV5w+P/S5ZhLDpYMuNe4D+RygO36DREYIJyhez6C4lawqXaVJl3JG7hnGfBgvgtYRYD3hBHsC7jz9zoBv+9eWf6HF02JkzchC9p7aq+lsP6ex0fvz9f1nCet4N7gb8M6ed3T7/Ormaryy8xVc+f6VuPGTG/Hu3nfR7GkW9rnnjHs4S9yfEDrEua64NTS6G4XtjMSMyHywJv0u213U8hsU958+eXzeeGF7c/lm3gdYwJJDS3DdR9fhRMMJoXxw5mBN5g/dcBkl69A5KM6Z4hSK1WWrhe1xvcfBaXOaVJvoo/4+PIoHa4+tNbFGRP65PK6A6f23lG/Bm7vf9Ptak7sJJxrF+xQGxbvPYXNgQI8BQhlTqNPLO18WtkdkjcB5hecZ94F8DtAdIypERggQEPPH30xxrjFsHer1xCfkTUCCPcGYD+MaItahSZvY8bu7dNCl6Jfez+/bPIqH65mRl3qWeIHbjSJXx/rifVJ64/x+5wv7/HfXf8NKw68oCtYdW4dfrvwlzlt8Hv609k+adNHtpvedjrG5Y0P+rJjWjfuAdurZOwyKRx9FUTQDQ/ytDW3Mh3NgnGV0Iyg+rvc4SD6dGs2eZmw7uc2ompEOiiuLcd+K++CW3ZrX5gyeY9xAMZ4DrCOEewBf6vTpnClOoVAHeJk6XZTiTMGZuWcKZUyhTtFo/fH1qHfVB3z9bxv+hvKGck15aV2ppozp00MzOHOwsB1MUPxg9UF8euBTplqPQdsrtmNL+RahbN7oecZOFuFzgO74DRIZQXNyUgI+DPdJF4PiDe4GnGo+ZUy9SFdN7iYsPbxUKFOn4dKV5iLIkWFRq5MZIk6bE/PHzg/41i8OfWFUrchi1OuJn9PQKI4HlWy4ceSNwj5H645q1hsLRlVTFf6z/T+47N3LcOtnt+Kj/R+hRfY/W9Eu2TFrwCz8fsrvu/05cSOEWWLq2YXFlcVwyS49a0VhcituTYpCwwbCqfEewDqCSJ/eLiMxQ7MuvTrlLUUPRVHw229/6zcgPrP/TFw3/DoDP5ydYZYR5kxxdVC8tK7U798cUSCldaWawRQMimtN7iP23bxe/Dr2Vu1FaV0pTjWdQounhRNWyHRdPdvXumrx2LrHNOVH6sQsI1lJWUhxpuhat3hRlFkkbHeVPv2bo99g7vtzcf+K+3HJu5doMguRtb2/931hu7efySq643OA7hxd70JE3RZohoifDszeKb1hl+zwKB0z+47WHUXPpJ5G1pB0sPzIcmHEpgTJ2AshL4LW0UVn2OyBs/Hkhif93hx/d+I7I2tGFlHbUovvjot/C+c0iGmbIdkwttdYjMoeJcwqXrRjES7oH/yapq/uehVPrH9CMwNWrW9aX8wdOheXD7ocvVJ6BX38uKRD+vRmTzP2n9qPYVnD9KwZhaHZrW0jnClOGv4GLHRyDhifNx67q3Z7t9cfX487cIcRNaMwHag+oMniMXvgbDww/gFkJ2cb++E8B1iHzkFxt+LGsfpjTHtLQVtTtkbY7pnYE0N7DjWpNtFrcsFk/HXDX4WyOe/PEbYdkgPJjmQkO5IhN8t484s3cUbuGbhp1E3ISc6JZHUpDimKogmK333G3ThUcwjv7+sIzH168FNcNugynNP3HG+ZemAMryGhG5QxSNjeU7Un4L6fH/wc9y6/17td3VyNRTsW4d6z7g34HrIOl+zCpwc/FcquHHKlZt153fE5QHf8BomM0I0ZIg6bA3mpeULZ0TquK24FH+//WNiekDcBvVN7G/eBvAhaRxedYTbJhl9N+JXftx6uPYyKxgqjakYWsbpsNdxKx6wgp82J8U2qgJxkgyRJmtniG09sxPaTXafelhUZj617DI+ueTRgQNxpc+KiARfh+Qufx0dXfoTbRt/GgHgwQugQz0jM0CypwhTq0cVfOzFvpjjvAaJWN54DAOCs3mcJ25vLNzNLRJRSr80JAI9MecT4gDjgZxklZouIWmEGxXsm9kSKQ5zNx/4B6o4P938obI/PGw8b7xs0hvYciqykrE73cStu1LpqcaLxBE7KJ7GpfBMWbF+AO764g9dqMtzOyp04Vn9MKDuv8Dzce9a9yEjMEMr/uOaPaHR3DKI/UivOFGfq9NCpszpVNlVqUtbXtdThz2v/LATE23184GNmnYgRa8vWorKpUii7pOgS4z+YfQG64zdIZIRuzhDRrCvOh96oV91crVnv93tF3zP2Q3kRtI4gOsPO63cevj/0+37fvrl8sxG1IgtRp04f33scUjQd4q1/Zxf2vxC5ybnCS4t2Lur0+E3uJty3/D4s2uF/v4EZA3HfWfdhyfeX4PHpj2NS/iR2pnVHiB3i6tniwQxuoMjxFxRPcnCmOKl0Myg+rvc4YbvR3ci2H6UaXA3Cdt+0vhwYQ1phBsUlSdIsscb+AQrWphObNOuJ+84epQ42yYZLiy4N6b27q3bj3b3v6lshIpWlJeJyjf3S+2FQ5iBkJWXh3nFi8PVo3VE8u/lZ77YmKM6Z4iHr36M/kh3JQtnOyp0obyjH4uLFuPPLOzHt9Wl4eefLft9/ouEEdlbujERVyWDqNjk6ZzT69ehn/AfzOUB3/AaJjBBuULyWD73RbknJEmFkcIItoVvpikPC9UStQ/278dP+JUnCb87+Db66+ivNWsKbTmwysHIU7WRFxvLDy4WyqQWTtTu2/Z057U5cN0Jcx/SzA59pRpW3q2qqwo8+/5Hf9etnD5iNBbMW4L3L38PNo27mUh6h0pwDghsZPipHFRTnTPGo0uRp0pQxIEYa3XwO6JnUE4MzBwtl64+v17tWpAPfZZMARHZtTp4DrCPEewBf6v4BdXCDKJB/b/23sJ2bnIuLB15sUm2i3/yx83HDiBvQv0d/pDnTuvXeZzc/C5eHs8XJOEsPiwG4cwvPhdR2jbli8BWagZULty/0LsmjXlOcM8VDZ5NsGNZTXNLsriV34bw3zsMfVv8B3xz9psvMEf76XshaZEXWLGdg+Fri7QJMkKHQ8RskMkI3Z4hwprj1qEeHTes7DekJ6cZ+KC+C1tGNGSI5yTk4p484en/NsTUB9qZ4sO3kNlQ0iSn0ZxT4meHh0+l61ZCrhLWN3Yob/935X81bDtccxo2f3IhN5ZuEcofNgUenPorHpj+Gs/LO8j5sU4iCGBjjj3qm+O6q3exsiyItnhZh2y7Z4bQ5I/PhvAewjm4+BwDaFOrrjzEoHo1805IC0KS4NhTPAdYR5kxxQBu8UAc3iPwprizG8iPiwNqbR90cuQF8FpTiTMEDEx7Ah3M+xKrrV2HTjZuw6rpVWPr9pfhwzodYfMlivHTRS3hmxjOYkDBBeO+JhhP46MBHJtWcYt3hmsOatavP63ee92dJkvCbSb8R1jJ2K278btXv4JE9nCmus+FZw8N6/+cHP2cKdYsrqSlBeaOYNt+8oDj768LFJykiI3SzM6wgrUDYPlx7WO8akY4a3Y1YXbZaKDN8ljjAGSJW0s3OsIn5E4XtnRU7Ud1crXetyCKWHV4mbA/KGIRC1XUCgPB3lpmUicsHXy68/MbuN1DXUufd3lK+BT/4+Ac4VHNI2C/NmYZnL3gWlw4KLX0g+RFih/iI7BHCtkt2Yc+pPQH2pkhrcoszxRPtiZH7cN4DWEcoQfE8MSj+3YnvuFZpFFKnT091pkbuw3kOsI4QB8b5UgcvOGiegqGeJZ6ZmImrhl5lUm2syW6zIy0hDb1SeqF/j/4YkT0C43qPw5SCKbgs5TKc0esMYf8F2xZADqGNE3VFPUs8KykLp/c6XSgryizCvNPmCWVbyrfguS3PaTJcFaYXGlPROKHO6OaPw+bAlIIp+Mv0v+C/F4sTFEpqS7yz+MmaDlQfELazkrIwIGNAZD6czwG64zdIZAS/J6fAI8IGZgwUtktqS1DeUB5gbzLb6tLVwrqidsmOqX2mGv/BvAhaRzd/N6f3Ol2Y5atA0awFR/FDnZJpeuF0/x2qqr+zm0beBAkdHbF1rjq8vedtAK1LPsz7bB6qmquE9+Sl5mHh7IWagRkUJs05ILhR4T0SeqB/j/5CGVOoRw/1TPHIBsU5OtwyuvkcAGhnije4G7CzgmsPRpt6dzSlT+c5IGqFeA/gi8urUXcdrD6Izw5+JpTdMOKGyJ6n4sAPR/5Q2N5fvV+z7BWRR/bgkwOf4N2972qeH4Kl7hOYUTgDdptds9+PxvwI/dLFNY3/ufmfwrbT5kSv5F4h1YNazew/E71TemvKU52pmD1gNh6b9hhWXLMCz858FrMGzMJpOachPzVf2Jcp1K3tYM1BYXtAjwGR+3A+B+iOERUiI3RzhsjwrOGa9YtWla3Su1akk2VHlgnbZ/Y+ExmJGcZ/MNMmWkc3Z4gk2BM060GtLl0dYG+KZYdrD2Pvqb1C2bmF5wYVFO/Xo1/rvj5e3vkyFm5fiP/31f/TjBYfnjUcr1z8Cob0HKJP5alDGKlTR2aPFLa3n2RQPFqo21Ciw8yZ4nwQjlp+nwM6D4plJ2ejKKNIKOO64tFHPVM82ZEcuQ/n4Fjr0CF9ujooXtFUoUnfT+TrhW0vQPEZgJHqTMW1w681sUaxaWrBVAzOHCyUvbjtRZNqQ9HII3vws69+hl+s+AUe+uYh3LXkrm4fo7KpEt+d+E4oUz/nt0u0J+Khsx/q9Hh90vr4DahT8FKdqXjz0jfx49N/jIsGXIRrhl2DZy94FiuuWYHHpj+G2QNnC0tqSpKEmf1nCsdgUNzaNEHxSM0SB/gcYAB+g0RG6GZQ3GFzaGbpfXP0G71rRTqQFVkzEnhG3xmR+XB2iFtHCJ1h6nOAOkU/xQf1+SUrKQujc0YHFRQHgB+e9kNhu6y+DI+vf1zoJAOAKQVT8NJFLyE3JTfsOpMfYXSIq9cV50zx6GHuTHE+CFtGCOnTAa4rbgUNbjEoHtk1xXkOsAwDguIAZ4tTYGV1Zfhw34dC2bXDro3MwP04I0kSbj3tVqFsU/kmbDy+0aQaUTSRFRl/Wf8XYSLN6rLVKKsr69Zxlh9eLqTlT3YkY1L+pID7T8qfhEuLAi+F1idde02h7stMysT8sfPx+PTH8etJv8aUPlOQYE8IuL86KL6/ej/2ndpndDXJIAerDwrb5s4U53NAuPgNEhkhhBkikwsmC9ury1ZzbaIotLNyJyqaKoSyGYUzIvPhvAhaRwidYeqHnJLaEpTWlepZK7IAdSaKaX2ntY7qDjIoPrbXWIzJGdPpZ1w55Eo8c/4zkV0LNd7oOFN876m9cHm4tnA00MwUZ1Cc/AkxKD4+b7yw/d2J7+CW3XrVinTANcUpKDoExVOcKchKyhLKuK44BfLithfhVjquF4n2RNww8gYTaxTbLhp4kSYtMmeLU3lDOeZ/OR8v73xZ89qJxhPdOpZ6PfEpBVOQ5EgKsHer+8bfF3AgTN+0vt36fNLHmF5jNJMQOFvcuqIrfTqfA8LFb5DICCF0hqmD4pVNldhVuUvPWpEO1EHK/NR89OvRL8DeOuNF0DpC6AwbljUMmYmZQtmasjU6VoqiXU1LDTYc2yCUeTNR+BtY5eccIEkS5o2eF/AzfjL2J3j47IfhtDnDqSp1JYwO8eFZw4Vtt+zWpNQnczS7m4XtJHvnnVO64j2AdfjL5BPMTPE8caZ4nasOxZXFetWKdKAOikd2TXH1MkrMGBW1dAiKA9ogxpG6I6HWiGJYeUM53t7ztlA2d8hc5CTnmFSj2Oe0OXHTyJuEsuVHlmNP1R6TakRm+6rkK8x9fy6+KfWf8fNU06mgj9XobtQspXdev/O6fF9WUhbuHXev39cK0wuD/nzSj02yaWaLf37oc5NqQ+Fo8bSgsqlSKItYLABgX4AB+A0SGSGEoHjf9L7oly6eUL8t/VbPWpEOmtziLDHfNWMMx4ugdYTQGWaTbJiQN0EoW1W2Ss9aUZT75ug3wiyPBFsCzi44u3UjyJniQOt6Y2fmnimUOSQHHp36KO44/Q5I7Eg3Xhgd4ukJ6ZqOcA6Siw7NHjEo3lm6PN3xHsBaQjgH5CTnaGYccF3x6ML06RQUnYLi6hTqnClO/vxn+3/QIncs7+KwOXDLabeYWKP4cOWQKzWzchdsW2BSbcgsiqLgsXWP4Z6v7kFVc1XA/Tp7Te3b0m+F7FR2yY5pfacF9d4rBl+BKX2maMo5U9w8F/S7QNjeU7UH+6v3m1QbCpW6HwBgxiir4zdIFClBPAyrZ4uvKmVALNqoL4QRnSUG9UxRBrail+p3E2Rn2KQCMYX6mrI1ULpYeoFix1eHvxK2J+ZP9JmF5u/vwP85QJIkPHrOoyjKKAIAnJF7Bl6a/RIuHRR4nTEyWDfb8YjsEcL2zsqdetaGQqS+B0h0RDB9uvocwAfhKBfafYB6tjjXFY8upqZP5znAQtTtP7R7efUasFxTnNSqmqqwePdioeyKwVcgLzXPpBrFjxRnCq4bfp1Q9smBT7q9djRZl1t247F1j2HRjkVd7tudmeJLS8TU6eN6jwuYFl1NkiQ8fPbDSHOmectskk3zbEmRc0buGeiV3Eso+/TApybVhkLV4mnRlEV0gDyfA3THb5DICCGuJagOim88sVHT+ULmMrVDnCPDrCPEGSLqdcUrmyqx5xTTsMUDl+zC10e+FspmFM7o2PA7UzzwwJg+aX3w7uXvYs31a7Bw9kKc3ut0nWpKQQlzltiILLHjgjPFo4PmHsDGewAKIMRzwFm9xaD4huMb4JE9etWKwqSeKZ7sTI7ch/McYB0GpU/nTHFSW7RjERrdjd5tu2THrafdamKN4sv1w68XJkm4FTcW7lhoYo0oElo8LXhj9xu49J1L/a4ffn6/83F2/tlCWbAzxV2yC8sOLxPKgkmd7isvNQ9PzngSGYkZcEgO3DX2LhSkFXTrGKQfu82OWQNmCWWfHPiEk18sxiW7NGUJtkhmjeMySnrjkxSREfwGxbu+4E3InwCH5PBuu2U30yZGGXX69EQ7O8TJD01nWHA3vIXphZpUier1pCg2bTi+AbWuWqFset/pHRvdSJ/ufVmSIrveKXUI8RzQTr2ueHFlMeQQO9VJP1E1MI7ZYqJbiOcAdVC81lWL3VW79aoVhaneVS9sm5o+neeA6KXuqNRppviRuiPsRCevmpYavLrrVaHse0Xf49rBEdQzqSfmDJkjlL21561uzQoma9lTtQeXvXsZfr/q9zhSd0Tz+q8m/gp/nfFXDMgYIJSfaj4V1PHXlq1FTUuNUHZu4bndrufZBWdj5TUrsfoHq3H7mNu7/X7S10UDLxK2D9YcRHFVsUm1oVD4S59u6lJqfA4IGyMqREYIcaZ4qjMVp+eKs/m+OfqNXrUiHZiaPp1BcesIIyCmni2+uoxB8Xjw5aEvhe2R2SPRO7V3R0EIQXEyUbgzxVUp7hrcDSipKQm3VhQm9cC4yN4DMGWapYR4Duid2hv90vsJZRwgGz24pjgFxaA1xetd9ahuqQ61VhRjXt35Kupcdd5tCRLmjZ5nYo3i082jboZdsnu3G92NeLX41U7eQVb21w1/DZi1Y/7Y+bhu+HWQJAk9E3sKr1U1BTdT/ItDXwjbo3NGhzzLW5KkyE7ioYDG5IzRXNM/PvCxSbWhUPhLn+60OSNXAT4H6I7fIJERQgyKA9oU6t+WfqtHjUgnTR7VTPGIzhJjh7hlaGaIBN8Zpg6Krz++3m+qHoodsiJr1g67oN8F4k4MiltLmB3iOck5yEnOEcqYQt186odhU0eHM2VadAtjcBzXFY9OiqKg0dUolEV0TXF2hlmHTkHxvNQ82FTHKq0rDbVWFEPqXfVYtFNcx/jCAReiKKPIpBrFrz5pfTSpkV/d+aqQ1p5ig6Io2FS+SVM+Omc0/nH+P/Dj03/sLctMyhT2CWamuEt2YUnJEqHswv4XhlJVijKSJOGiAeJs8U8PfMrsLxbSIov9AE6bE1Ikn8f5HKA7foNERggjKD6lYIqwfbDmIB9+o0izO5pmirNDPGqF0Rk2IX+CsN3obsTW8q161Iqi1ObyzShvLBfKLujPoLil6dAhrk6hvrNyZzg1Ih2oB8YxWwwFFMY5QLOu+IkNXD4hCrhkF9yKWyiL6BIlPAdYh05BcafNifzUfKHsaD3XFSdgcfFiVDeLWQN+NPpHJtWG1Ou4VzVX4Z0975hUGzLKycaTqG0Rlzv727l/wysXv4JpfacJ5aHMFF93bJ0meD5zwMzQKktRZ/bA2cJ2WX0ZNpdvNqk21F0ujzhRKeJZGPgcoDt+g0RGCCMoPjxrODITM4UyzhaPHpr1RLmmOPkTRmdYVlKWJhjGFOqxyyN78MCKB4SywZmDMTBjoLgjg+LWokOH+IgsMYU6Z4qbL7pmirP9RzUdg+LVzdXYU7VHj1pRGNTriQORTp/OjFGWoVNQHNCmUA+UtpfiR5O7CS9tf0kom1E4A8OyhplTIcKwrGGY0kec3LJwx0K4ZXeAd5AV7aveJ2wnO5JxbuG5fmeLqmeKVzZVdvn3oE6dPip7lOYaQNY1tOdQTR/Ppwc/Nak21F2m9gMA7AswAL9BIiP4DYoHlxbFbrNr0iczKB49zE2fzougZYTZGTYxb6KwzaB4bJIVGfevuB9l9WVCuWaWOOD/GsJzQPQyYKb4rspdTLFmMs1McQdnilMAYSyjkp+Wr+kE5bri5vOXCjfZkRy5CjBjlHUwKB7XXB4XHl3zKOa8NwdPbngSHtmj6/Hf2vMWKpsqhbLbR9+u62dQ9807TVzP/WjdUXx+8HOTakNG2HdKDIoPzBioWeKinXqmeE1LDW7+5Gbsr97vd3+37MaSQ6rU6QOYOj2WSJKkmS3+2cHPdL9GkDHUE+Qiup44wL4AA/AbJDJCGDPFAe264qvLVnOUaZSIrvTpPIVHrTA7wyYViANjtpZv9TtDiaztme+e0YwIB/ysJw5wprjVGDBTvLKpEicaToRTKwqT+h6A2WIooDDPAZoU6sc3hFsjClOTu0lTxoEx5Jem/Yc+oI1Bcet5YsMTeHXXq9h7ai8WbFuAjw98rNuxWzwtWLBtgVA2uWAyRvcardtnUGjO6n0WRueIv4cXt73IAa0xZP8pMaA9KGNQwH37pveFw+YQyrac3ILvv/99LNi2QBMI3XB8A6qaxRTrM/szdXqsUa8rfrLxJAe+WoR6TXHOFLc+foNERvA3cr8bnWFnF5wtbNe21GJ7xfZwa0U60MwUj2iHuDptImeIRK0wZogBwJm5ZwoPUW7FjY3HN+pRM4oSH+z7AP/e+m9N+cT8iRjac6j2DX5nivMcELXUv5oQOsT6pPdBmjNNKOO64uYydwkVpk62lDDvA8b1Hidsbzy+kR3rJmv0iDPFnTanpsPbUDwHWEeY7d9Xn3QxKF5aXxrysch4W8u34pWdrwhly48s1+347+97H8cbjgtlt4/hLPFoIEmSZm3x4qpirCpdZVKNSG/qQUma5c58pDpTcd9Z90FSPRS2yC14csOTuOmTm4RZ4+qsAiOyRqAwvVCHWlM0GZgxUDPw/cP9H5pUG+oO9ZriCbZIB8X5HKA3foNERggzKJ6XmqcZdcgU6tFB3SHOGSLkV5gzxFKcKRiTM0YoW3dsXbi1oiixuXwzHv72YU35xQMvxuPTHve7LhlniluMDjPFbZJNsz4kg+LmMjcoztTJlqLzTPGKpgocqjkUbq0oDOqZ4hF9BgB4DrASHdOn903rK2yX1ZdBDuN4ZJxmTzN+/c2vNeXrj4U3C7DB1YClJUvxu1W/w5MbnhReG9d7nGYQFZnn3MJz0b9Hf6HsxW0vmlQb0ps6c19GYkan+/9gxA+wcPZCDOgxQPOa76xxl8eFL0u+FF5n6vTY5S+FOrNCRj/zZ4qrg+KR/fhYxN5UIqNoghXdm90xuY+YQv3bowyKRwOmTqWghNn+AWB83nhhe82xNWFUiKJFWV0Zfrr0p5qb6ocmPYQ/T/szeib19P9Gv0Fx3glHLR3OAYA2hfquil0hVoj0YGpQjPcA1hLmOaBvel/0Su4llDGFurnU7T/ZHsH1xAGeA6xEc38WepaHvuliUNwlu1Cr1IZ8PDLOPzf90+96wRVNFdhavhU1LTVBZ/w4XHMYr+x8BXd8cQemvjYVP/3qp3hz95uobRF/95wlHl3sNjt+OOqHQtmaY2uw/SSzPsaCRreYMSbZ0fV9wNjcsXjj0jdw08ibAs4aH/fyOFQ2VQqvXdifQfFYdUnRJbBLdu92o7sRnx38zMQaUTBaPGYHxfkcoLcI5vsiijOSTTxpdXNE9+SCyVi0Y5F3e+vJ1gepHgk99KohhSC60qfzIhi1dFhLcGL+RDy35Tnv9q7KXahuru5yRDJFrwZXA+5eejcqmiqE8uuHX4+rh13d+Zt5E2wtOs0SG541XNjeVcmguJka3A3CdqozNXIfznsAawnzHCBJEsb1HodPD37qLdt4YiPmDp2rR+0oBNE3U5zngKil40zx7KRsJNmThGfQSrmyk3eQGbaWb8WC7QsCvn79x9cDaF12ISspC9nJ2chOykZ2cnbrdlI2eib1xM7KnVh5ZCUO1hzs8jPH5IzB2flnd7kfRdalgy7FPzb9AycbT3rL/rD6D3hx1otIcaaYWDMKlzoonuII7veZ5EjC/ePvx8z+M/HQNw9p2reiGjg1PGs4+vXoF1ZdKXr1SumFc/qcg2VHlnnL3tnzDq4ccqV5laIuqTPGMShuffwGiYwS5sPwuN7jhDUqPIoH68qYPtlsTJ9OQdFhLcExvcYI5wBZkTlLzMJcsgs/X/5zFFcVC+WTCybj/vH3d30Atn9rMSgoXlpfiurm6lBrRWFSB8WDmSGiG6ZOthYdzgHqlLi8BzCXek1xBsUpIB2D4pIkoSCtQCirkqtCPh7pr9HdiF9/8+ug0tq7ZBeONxzHjoodWHl0Jd7d+y5e3PYiHl//OH719a+waMeioALiw3oOwyNTH/G/5BKZKtGeiB+M+IFQtr1iOx5Y+QA8ssekWpEeQpkp7quzWeO+Li26NKT6kXXMGTJH2N5Uvgn7T2kzjVD0MH9NcT4H6I3fIJFRwnwYTnYk48zeZwpl35R+E26tKEzqWSJcT5T80qEzLNGeiDNyzxDKuK64NSmKgj+s+gO+OSqewwf0GIDHpz8Ohy2IxD28CbYWnTrEizKLNA9cnC1ungaXGBSP6IwfngOsRYeMMeqg+NG6oyirKwunVhQGzhSnoOkYFAeAPml9hO0qD4Pi0eTxdY9r0qanJ6Tr+hkOyYEJeRNw77h78d7l7+GNS9/AwIyBun4G6ee64dehb5q49MGyw8vw2LrHgk6hT9FHExR3dn9wbPus8f/M/g9yknM0r6c50zhjOA6c0/ccZCdlC2Xv7n3XnMpQUNTLHzrtzshWgM8BuuM3SGQUHR6GJxeo1hUv/ZY30SbTzBS3c6Y4+aFTZxjXFbcuWZHR5G6Coih4dvOzeGfvO8LrmYmZ+Pv5fw9+SQy2f2vR6RzgtDkxpOcQoYxBcXO4ZBdcsjhCPNi0ibrgOcBadMgYMyhzkOYaseEEZ4ubxfw1xbmEgmXoHBRXryvOmeLR44tDX+CN3W8IZSOyRuDLq77ET8/8KUZkjQh5+buspCxcPuhyPDH9Cay4dgVemPUCfnjaD1GUWcQZ4lEu1ZmKf1zwD83v/r+7/isskUjWoShK2DPFfZ2RewZe+95rOK/wPKH89jG3Iy0hLeTjkjU4bU5cNugyoey9fe9pnjUpemjWFOdMccvjmuJERtFhhsjkgsl4csOT3u2jdUdRUluC/j36h1s7CpE6KJ7oMHOmOC+CUUunzrAJ+ROATR3be6r2oLKpEllJWaHXjQxXXFmMX678Jfae2uv39UR7Iv5+/t+7dy5nZ7i16NghPjxrOLZXbPduF1cWd7I3GUXdEQYwKE6d0OEcYJNsOLP3mVh2eJm3bOPxjbik6JLw6kYh8V3TGeBMceqE0TPFGRSPCqV1pfjtt78VypIdyfjztD8jxZmC20bfhttG3wag9R6isqkSlY2VqGiqQEVjBSqbxJ8rmyqRnpCOSfmTMK3vNIzMHgkb27llFWUU4alzn8LtX9wuBLr+sv4vyE/Lx8z+M02sHXWXS3bBo4jp78NdRql3am88dd5T2Fu1F+uPr0eftD6Y2mdqWMck67hiyBVYsH2Bd7uyqRIrj6zEef3O6+RdZBb1THGuKW59DIoTGSb8GSJDew5FTnIOTjae9JZ9W/otg+ImURRFmzrRzJninaxDRGYLv/0DwGnZpyHZkSwEY9YfW48LB1wYTuXIQJvLN+Oe5fegtqXW7+s2yYbHpj2G03ud3r0Ds/1bjD7nAEC7rvjOyp0hH4tCp06dDjB9OnVGn3PAWb3PEoLiXFfcPOqBMeYHxXkfEL38/G4UJeTfmToNM4Pi5mv2NOPeZfdq7vcfnPCg37TmyY5k9EnroxngQLHtrLyz8MiUR/DAyge8ZQoUPLjyQfRK7oWxuWPNqxx1i7/BseEGxdsN7jkYg3sO1uVYZB1FGUUY22ssNpVv8pa9s+cdBsWjlHqmeESXUgXYF2AAfoNERtFhhLgkSTg7/2yh7NvSb8OpFYXBJbugQJytGdkLIWeKWoZeqZPtTpyZe6ZQtvbY2lBrRQbb5dqFHy/9ccCAOAD8asKvQnzQYfu3FE3q5NCXPlEHxQ9UH9BkLSHjNbi1QXG9OsOCo/4bYkAsqul0H6BeV3x/9X5UNFaEWisKg6kDYwHwHGAh/u7Rwhgc1yddDKTWKrWazlmKHEVR8PtVv8e2im1C+eyBs3HF4CvMqRRFrYuLLsZPz/ypUNbsacY9S+/B4ZrDJtWKusvIoDjFrzlD5gjby48sx6cHPjWpNtQZ9X2X0xbhNcU1+BwQLvaoxqmSkhL88Y9/xKRJk1BQUIDExEQUFhZi+vTpeOqpp1BeXm52Fa1Ppw7xyX3EdcXXlq3lOiMmUadNBCI8S4Qjw6xDh+UT2k3InyBsMygenV7f/TpeqX/F73mi3bzT5uGa4deE9gFs/9ai4zlgSM8hkHweejyKJ2BqfjJOo0vsDEu0J8Jhi2DSLZ4DrEWnc8DwrOGaTtfvTnwXaq0oDJqguOkzxXkOiFp+g+Kh3weoZxcrUFBWXxby8Sg8r+x8Be/ve18oK0wvxEOTHuJa3+TXvNPmYe6QuUJZVXMV7vzyTlQ2VZpUK+oO8wfHUiyaNWCWsByXAgUPfv0gJ8NFIc2a4qanT+f9Rrj4JBWHnnnmGQwfPhy//vWvsWbNGpSVlaGlpQVHjhzBihUr8LOf/QzDhw/H4sWLza6qtek0Q2RS/iRhu8HdgM0nNodaKwpDs1s7My+iM8XZGWYdegbF88Sg+IHqAzjRcCLk45G+ZEXG4+sex5/X/1mTSaKdBAk3j7wZ95x5T+gfxJtga9FxPdFUZyr69egnlHFd8chTd4ZFdD1xgPcAVqPTOcBhc2Bsr7FCGVOom0M96C3ineE8B1iHv3u0MO4D0hPSkZGYIZQdrTsa8vEodMWVxfjL+r8IZSmOFDx97tNIT0g3qVYU7SRJwq8n/RpT+kwRyktqS3DXl3f5XaKHoot6prjT5ozs4FiKSanOVMwfO18oc8tu/Oyrn2Fr+VaTakX+cE3x2MNvMM489NBDuOeee9DY2HFBHzx4MKZPn47BgzvWMKmsrMQ111yDBQsWmFHN2KBTZ1hOco4mdSpHjZnD3wzQyAbFmT7ZMnQMiA3PGo50p9jJsu7YupCPR/qpbq7G3UvvxsIdCzWvXVp0KTbesBGrr1+NdTesw33j74MtnDbLm2Br0fEcAADDeg4TtndWcF3xSFN3WEY+IMZ7AEvR8RygTqHOoLg5om9NcZ4DopbO6dMB7Wzx0vrSsI5HoXlz95vwKB6h7NGpj3I9YOqSw+bAE9Of0PTtbavYhnuX38tskFFOnTGKs8RJLzeNvAnXDb9OKGt0N2L+kvnYf2q/SbUiNZdHPEcn2BgUtzoOa4ojb7/9Nh555BHv9siRI7Fw4UKMG9fR0bJhwwbcdNNN2LFjBwDg9ttvx6hRozBhwgTN8cymKAo8sgK3rKDFI8PtUeDyyGhxy3DLrT+72so9bft6ZAWyLG57ZAWyosAjo61chkeGdz93+3u8+/mUKYqwH1r/PxRFwU9bZKT51HfhtwdwYFuW0KeptG20vqetrG2moU2SvP/QMAzALu/73tn1FTwVF8Fuk2CTAJtNgr19/7ay1tda/zlsEuw2CQ67BKfdBrtNgtMuwWGzweHzv06bz2t2Gxxt73HYbGJZ2/HiLT2Yv5niTJ8eebKswCW3tm23p+Nnl6e17bs9MlweBW657X89HecEt2+59/XA+3Z8jgyXrMDjaW2f7X/6rf8rdWy3lfWtP4A7ferc4nbj8Y92wN7WluzedmQT2qdDtd2+X7/U07D91Crv8T7asxL5jslwtrdd33bsbbs2b7nTHn/t1WjbK7bj3mX3+p2pM//0+bjz9DshSRKcdp3WGmL7txadg+Ijskfg80Ofe7eLqzhTPNI0M8WdZs8U5zk9qul4Djiz95nCdnFVMWpbajkrMcJMX1Oc9wHWYVBQfEfFDu/2kbojYR2PQrO6bLWwfePIG3F+//NNqg1ZTaozFf93/v/hho9vEAa2fH30a/zu29/hD1P+wGf2KKUeGMegOOlFkiT8csIvcarpFD45+Im3/FTzKcz7fB4WzFqAARkDzKsgAQCaPWI8gDPFrY9B8Tjhcrlw//33e7f79u2LlStXIisrS9hv3LhxWLlyJcaMGYOjR4/C7Xbjvvvuw4oVK0L63OdWHEBCykm4ZBkud3vgqTX41B60bv/Z7WkPbmtfd3tktLQHrtxtr8tyOBmJDXdboow0n/vZz7aX4hs5O6Rj2VN6IaV/x3Z5yz48tWwT4EkNr5Jhag/utQfmfAN+7cF3hze4Z4PTJr7mDQ56g+2+gXgxMO99f1vwvnUgQFvwv31QQNv/+pbZba0DDBz21gECdt99beoyiK+rjnW4WlzvKcGWgBa3ApskewcoGPoQE8JFsHUQh+wdzNEeAPZ4f24dCOJWb7f9rEcg2e0tFwPWgQLZYqBb3NflkSFHcbtvN1o6jjt9kgh4PB48v/JAyMdzZmUhqXfH9vKSVfj4q+5ljGhvj067TTXYpWNATEcgXRtU7yro7m8ATftntZ8jHPbWduxQlfs7vraeHeV2m7mdBW/tfgt/XPNHzYh+O+z47aTfYs6wOfp/KG+CrcXgmeLFlcWQFTm87APULeqZ4kyfTp3ScRmV0Tmj4bQ5vdccWZGx6cQmnNP3nHBqSN2kzhjFmeIUkAFB8b5pfYVtrikeeaV1pThYc1Ao+17R98ypDFlWr5ReeHbms7jxkxtR3VztLX9v33vISMzAPWfe02U2QkVRoLRNyJHbfvYlDtiXvD8LrzH43i0MipORbJINf5z6R1S3VAuZYU82nsS8z+fhpVkvobBHoYk1JKZPjz0MiseJ//73v9i/vyPtxpNPPqkJiLfLysrCk08+iWuuuQYAsHLlSqxYsQLTpk3r9uc+u+IAbIkR7jSMErJqdQJbgLVmg+FpHABFdkKytXaGSZICR8o+uGvHhFXHcLnagpZNCO8h3yocPTYh2SdzXVNTOoY/9KmwjxBg9wm+awPtEMraH2igerhRoEBu+3qXutzwfTy6ccE67JQqoSit+8sK4JZltLjsuG/tF3DL2gckigwZ4kNmOO0fADz1g8TjJVRCclRBcfcM/hhtGS+a3dZvr5KEjkB7FwF0/0F5MUAfMOjvZ6DA0aYtePnQw5o6pTkyMck9F5ny2fhm70lIUkcbbx8w05q9o3WgjiT5ZgRpf72jTBIyfgAJ9c3I9Pk8WZLQ0Oz2vqf9ewFa1zAXt32/O3aMhMO3E0pRFE1nVPvPThnwfUxqcbtRV9/ifY+iQPhZ9v7cdvy283/7ZyUp4kNwg7sB647sQZ+0QuFvxvfvSkLb31rb4DDvtuZvkL//YKhniic7uZ5wJLW3DY/SmrlJllvbjUdRoMg+5b6vyer3tN4rtWd/ar93am23SltbbP0s2bcN+rTRQPsCbe9p2/ecJrdwzl574CQOtRz23g20d1S3Z5iRpNZzd3tT9LbptrI+ycNwsH6b93hvbV+Bppqh4vuljvvMjow0rdc3dQYau813P5tq//jMCNUV9UxxLqEQOR1trq3N+zz7yG3nAN823d4u27O6dewvvq4+ZwR6Xfg8WXvukH1eVxQFCQ3HMVv13/D2hsNwJ6T53H8Fbv/Ca23lp2rShOPtPHkQX+064ZMxDn4HfbffTwZT7puBTl3O8wGw9thaYTszMRMjskaYVBvr8c30KPtkZPT9X4/P//oO7vf4ea1juzXTY3f2bZ8UoN5XrIvcUVePApfHg2PHbVh8YoP3XsIty/Ao8E4q8PhkpfTd9hfElhNuBPKeA2wdg6wX7liI/2x5B56qafBUT4QiJwrPHUZNDlA/M/o+L6qfL33/x+bn3GNrm5jSep6RfM4z8DmnaM856oyX6uO1Z8VsPz+1P2u3T2KxSfA7ucXhe+5T9c05fCbAeH+2AXabTTPB5ruTx4XvTJET8F1JlVBf3+MJn6f6zFg8v/r9G2/PjKq6SjQtIgAAL8FJREFUBkN9TYZ4nVVU192WFheONwJ7TtTBbncIx/d3j+57P+7tV/VzTdd8JgLXob2vVrj+t/13yzo2zHFJP8WBxAqUNXdkhTvRcALXfHAzrunzKDKcvTt5dytb2z280EZbbyg0/VFiHxQA+GzbOu5BAvY3SBD6urrqb5C6qEP7fY9vvxjaPqOzPg8pAu0oXtKne++hZQUtLg9aPF2/x6oYFI8Tb7zxhvfngoICzJnT+Sy2K6+8EgUFBSgtLfW+P5SgeDzTNSimOOBpKIIjrePCaE/bbXpQPN7YnBXCttyinfnvkRV4oABGXDgSZSG6Vdngxkmlxc+OEhBmEJbCo6javxTmwBG5OQ+yOwU2R0dQxp66D+7qs8I6rlUpCtDikU25QUvuuwgOVcZad0N/HDt6Pd5xZ+Cdncas9TrNthkLfe67j9e6cPZvPzPks9p11kGi3UfbURJon0DHFd7X2T5d1Et8HmrfEB94FZ+HW9+OJt8gmG9Q2t8sjM7cY9+Pn/tkzv9yxzHM3/xF8AfQUJA6JA02R5235AcL34G7dnQYxxQJD63QPsS2d1z5DuZo79SRJHEQh3cfnw6u9mN0LPei3a/rY/s+qLfXVUHJIRs2frwLTrvdp47ifu2dUZJQhwD7qT/XJuG742JnWH2jHV/tOuHdr/3vw3fABDR/U237+PwdwufvrOMYYhDHIwNjj9fAd8XS4hP1+PabA0KQpj1Y5A36yh0dN4Fea++s9bTv6z0WfPZrrYOidLzW8R4xQC0co5OgtOKzv//P1wagrOT9hCZk+vRVvLbmIN6Wt4R8vIRevZCY07H92f5VePersaFXMAi+Hbm+mZu8P0sSmhrt+L/937ZlgOlYAsbpu6/N3xIxAfZVZYvqdN8ujytmrXL4DKZTvx5MR5pmTfEIpk+XZQWS7BGuraeaPGisbvQGXjqCOrJP9qfAGaI8cuvgZt/t9kxQbrl1ySDfQFF7ZqhAwaX2wJEQ9PIJCvl9T4DAlVDedn6wklxUYbbqz+Ph97eiBqFnebOn1iGlX8d2SU0pbnlpXcjH6y5J0gac2q9/wZR7y3zuB2xSx2u+9wWtA3w6frapXhc71LX3Gb73Lr7BOPFYPuXQrkji75zwbZUYFO9pG4Znl7dOPJHUz37q4/n5Pn35BnGA1jbve//pe5/avq83iBPsvqrgkTrA095mZUXRBIxlVbtWB7WFfZXW84WstAaq5baAtcWacQA24FRF17sFo7Ev7J7rkNx3ESSp48uRHLVw9PoI9qwv4ao+Cy2Vk6G4Qss4GSzfe1ihQNzL0DpEO2fPYiTldWzvO9GCOf/Xvcx9gdhV50/A/yx/+Hutk/0lqWNL3K/159ZzAqB+Tm4/p0B1zvAdoOF7PunOM3LoHMAmfb7vqGe7Din9/g17cscyKbXucvxrzy/QcOgOKO5M8+oWxSSfa7q/wLzv/7a3F23/UaD+KqCp10lh1sNfPt2Lp95Zorlf8L43iD6wrvq+fD//H7U1GOLzOY9/sQdLlrdmdW5/Jhefu8XBJ8KgTp+f2/sC2p/R1eTm2A0dx+5/GXk1Njbiyy+/9G5fdNFFcDg6/9U7HA7MmjULCxYsAAC8//77eOaZZwytpxF8O238j8oTX++Y2ds+OlAcqage5aceAeh70kvZ4wB8BhJNH5KN/LZ0J+03J+obE9+HKQUdHZAeWcEB13gUuzqC4mmZ+zG9Zy4USGIHpp+OSN+U2C6P7O0E8e008U11HRsPLPqzJYjp02WX/2wLhn2+5kHE2JFwVmaTENxM4G6mCvdN2+178+8NgLSV925sBnyW/LVLwFXj+godiS6P2LHobYs+296OSFlGnWsI3I7N3mMmpu+HrW5C1C8lEVvcsKfsE0paqiag+djlAOyGfrK6/UfiVx5cB4n3RYNrYy3qbyPcbBGABLkpH7a0PR3HTCoFdAyKt98ztI41sdrv04YVx0oM/YSEXgeFoOR3hxpwy6rIBSQecZRjsM/t++oDVfjdnh2B30CmUg+Os0nhtSlPwwBh2558BJBcgOL0/wYdtAc5OifheGNdF/tEP39BNW+wru1Z0FVQJfSePPzeHvyva6kwkMZ3oI84y0ic6SzLHYErcXZyR6eU7/JHigKsTmxEns+f1d2vbcJK2frZf2KRv1YjhXldVVw9hW2box6QmgGl8zTLelEUwN0RQYlLyYW74PCZsL+rJA1bNhYHfgNRFzx1I9F8bA4S894RAuMAINmbkZD1DZw9v4W7bgRclVPgaSgC+4BMIqkmo8j6zRI1dGINWY+chIaSW5HS/3nYkzqWSrElVCGl/7/QUDLP8IEyVtTel9G2pfvxU7JbhB6/qgYF7pqmgPvrrSXBDd+ExEdPNWOXXBuxz49FDIrHgR07dqC5udm7PWXKlKDeN2XKFG9QvKSkBJWVlQFTrgdy3vAcpKVnIMHeEWBytgWXnG0zChJUPztU+7Snv01oT4frsInHs9ngdIg/twe2TE1D87dE4FTH5q1TBgBDQ5/Zvf9UOi5/72Xvdgsq8cvLslGUWRR6HQOQfQJx3rWm24LmHmG9ZxnqGQm+QXfxNXHdarenY9sjtx1b837fQKH4Ge2Bf7ktZWb7yKj2Djzf0cvtnU8e788dsw6E17uYiSA5VUHxlsgGxdWdKepsBOHyXSPe3jZYJNiU1Alcc1p0XFIFxRX85funh3XIV3cdx6NrOoLivXMPY8ldF0GSJG/b8bs+u2rNd9914QOv/65u45FZM759pkG0sqcchGQXH4hbyi+E0QHxVur2Hz9pU61I/fsJtzMcADxNBXD4BMXtSUfDPiYFT7KJbV+RIxOI8H6+alsddKXoos0YE2ZQvLE/FEXydppLkgf25BJ4GgZ18U4KhqwAskdBZ51oqWgRzuwVdQo89Y0B99eb+m+I54Dopfi5Rwv3HCCrguJAawe53JznZ28ygi1RzBgjN3edxpaoK65TEyA35yKh15dwpO7VvC5JCpzpO+BM3wFPUx5aKqfCXXO6oYPiSEv7HBDh1MkUX+QUNJTchpR+z8OedMxbbEuoREr/Z9FYchvkFl6DIkmS3GKBEtmQqrYvgMLFoHgc2LFDnEUyZMiQAHuK1Pvt2LEDU6dO7dZnP3HVGGRnx+kIJvX6Dm/9CHCE3oE6EEBediKO2TtOhZe/dzmyPXF4KpTa/gUZE7K3/Qv3seGUDfBNXPiPxHdwftZb4oxh4R2KNzWvqlT4oX1b07WlKnA0ibNBHr3ydDT2HOZdm0UCICkyVq/+FtPPmYqkhARhbUjfNJH29hnSbSknbWYHkWONuv0rMvB4cOfeQCbaJSC74xxS3liOMQvHRO85wIaAbbS9TRoVUlJ8/q+ex6yyi/9BQ5o9eD7hFx1tWVEgSb7dntqTQ6i1SoS4hpGisM1GM3WwYoZtE9Yl/jisYy71OPEIUrzbjrTd6DfkF2Edk4JXb5PQ4vN7/YG0Aj9O/Dxin58OcU1zBsRC5zsr2Dd1b/u9lM0mpt5Tr8vnve9SpemDz3ZCvUOY8fO7hEX4FRb7rU+w14XbW1JRnNgxCCul//Po6eZM4Uipcoj3AP+2P4XTEiM3rSsbNcK23oNj45Hvsh2+S2Z0zPr3k3bbJ3uAzefc4XucTEUBqsXPWpb8C7/n7e7cF85xp6HS5+8wtehvPAdEkPoc8F/lOQxM5PcfCT5ZoKFOVu83Vb0kaVqb7zEkn1L/79fuByjweDxwOBzisSXV8fyW+yf8d9UCW5tseCnVieWJNsh+JvjYk44hueBNJOW/gUTFJ7Wu0tFFFq38Ph9bQHtfX6NNQpPPN/w9aSMeTPzGYv81sUvdJtUbAdtGF+1UPcTV31JxRqoql3BP72QcTOi4/7c5a5E66K9I9yhwGvAXqHj/D/mqtkvCvfeTjn/h7ER3J+/QV0+Is8L9DcCk7mFQPA4cPHhQ2O7Xr5//HVX69++vOU6goHhzc7MwG72mpvWh3eVyweVy+X1PrHOoV5ZqrgaaA+3dNQnA5OQsvJ2eJpRX2KP51je29a+vhL3FvL/v0/r0AHplCGUulwtlacCQnGQ4nV0NA1AAxQOPB/AwVZO+PLJ2EEb9ibAOORBATkYfnHSIs5J5DgjE+O/lwoZaZCs+ndTBP1GFLS8zBctvPMebetV3LWJAnd6//bX2bT/DBjp7v+Y4Pt0aqgemzvZRf75QBz+DBtT17M7nq/9b2jusATGQJXn/V/zZd18J7YGwtq4u4f0dwTDf7YyNW4FVHXVJlNzope4h76bxLgfgExQHtB20FDk5ShN6SeH9TsOR2yMZkzJ6eoMzvmu2egM83lTO2nXTW9da1a7j3h4o7gj8qNZw9VlWqOMz/K8377surPDZXdTD/39Txz6+a9aK69gHV49IsP8nA+hYChApSiNSEN6s4glNQHFiD6GM5wDz5KEWvSTzngMCDYzxrq/evoxY2yDY9uW+nD6v232zRPkMpO14v1juuzRZx3422Gztn9u2/FhbJieb5FNua19TumOJMvV7WwfqoqO+3s/xTU0P4Tzlbx1pcU1p/4FtQzPKNVQCfxWLMpXwrxeF7kRUqgbZ8xxgDoei4Ax3FZx8DDOfv+CNkQGdlq53CdWZjcCZNcARhx2v9kjH2+lpqLNp23iTJKHJsn97lq24oKfSjBwTnwNIJ909V0Q4WJwpAwvKbLgzLxfFiWJ2glp7tA+FiW05Sj16SZFLn672g0n9Ma1gtPgcrH729zOQszvlsseDJV98jp+Y9l9pLAbF40B7gLpdZmZmUO/LyBCDbbW1gdcq+N///V/87ne/05R/9dVXSElJ8fOO2De1xQm958hfWN+gCYqTOZyKgkJX5EaF+fPlt5vQ4tzv97UvvvgiwrUhX053LWZD0iVlcjsJwPkNDXi9R7pux6TQ5brduLHavDV8ajwJ2PTtV6Z9PnWusOIkeup8zP4uN/q43Djq5O17NMhzm3sPMCAzAdf1Ltf3oAZOeJPb/pn7rUXO+FoZBTofc2pjExZl9Oh6R4qIXm5zR5RePzINlyW7WwPMUuus5/bBWRHT3rBDoADeHDhhjBuPSpLsxsW2BDhkfaNnQ1pasDkpskt3kH9DWlxhZ6EjCqSv24P7K09hflU13ktLxSsZ6SjpcsIDRVKeyfcAFD9yZBkvHjuOn/Tuhe+SksyuDrXJNXlmmaumCk7lO++2gtYkZXrXKiuG/+TYqxYH6urqhO3k5OSg3qfer7Og+IMPPoif//zn3u2amhoUFhbi3HPPjdv06dIQO5Q3b4Yk69f9N7mxCT+vrMJzmRmo9zNilCJn3qkapKinKEaQ58wf4oLZ12rKXS4XvvjiC8ycOTOImeJkJDlhA+wbXtT1mHdXnUKVzYbP01J1PS51T5Is43/LK5Bq0jlAsTmQcfFvcPHQ2aZ8PgWhcTKUl7+BdGJH1/sGyQ7gbyfK8ate2diTwHXszDS4pQXnNzR0vaNBlIxCDJ37EIb2yDetDtQ56XAWlFevhuTS7+/k7MYmfL+mFm+mp0GJaOST1K6uqUWObF7aZHn4pbjoytsiHAGn7pB67AJWPqbrMW+qqcXylGSUO9iNZyaHouCOU5whSsZLVRRcX1uHa2vrsDI5CS9npGN1kP25ZJwClxuX1NWbXQ2KIz1kBc8eK8eDvbKxNDU+Jx5Gk5n1DRhkYlZkecA5mHjVTwC7sX1CLpcL7733nqGfYSbeTccBdfpyR5APUeqAWmdp0BMTE5GYqB217HQ64zcwN/IS4N7dwPFt0CvHigTgFgDXeJqxq+4IWnQMuFPwCpKy0C+5l3kV6NEH9uzBsHfSERbXbS9aXPIkcPZdQM2RrvcNUgaAJwAcbz6Fg43HNamjyXh2yYZhaX3QwyE+jLjdHqxZuwYTJ0yEQ5XiXl8SpN6nwZEanwPOLMPZC7hjBVC2BWjRL6PAcABvKQr2NpShQsfjWplHlrFr104MHz4C9ggMGEyxJ2JEWl84bSY9RjmSIRWMhdPB2YJRregc4N5drecARZ8x+xKA3wC4q6UW+xuOwaOYu5ZtpNtetOidmIkBybnmBaTTesPWa7h3mQ+KUuf/D3DmDUDVAd0OORDARy3NeHfdFxg0YihkiQ8CkSZJwKCUfOQkMGtHvIncs56WDcD0tn/HmqtwpKnCZ5mptv/H00FEJNmdGJFWiEQb+9oixcy2F01SAPxNUVDaXImKllo0ys1s9ybITkjH4JR8Y5fh6UxyFmy9T4Mtjp69jMKgeBxITRVnFDY1NQWV0ryxUVz3Tn0cCkJqNlA0XffDpgA4U/ejEpGuJAnIGdz6T2e92/5R9FBcLpzcWQdl4DSAA1IIAOxOoO843Q8rARjS9o9aB22eLP0YE8ZezMFgFF2SMoCB5+h+2Oy2f2Zj2yPqQs/+rf905HC5kFLchDNOZ7sjiqRoedbLa/tHFC+ipe1FAwlAn7Z/RBQeDiuIA2lp4hrUDUGme1Tvl57OdWyJiIiIiIiIiIiIiIiIyFoYFI8DvXqJaZ7LysqCep96v5ycHN3qREREREREREREREREREQUCQyKx4Hhw4cL24cOHQrqfer91MchIiIiIiIiIiIiIiIiIop2DIrHgVGjRgnbGzduDOp9vvslJCRg8GD918UlIiIiIiIiIiIiIiIiIjISg+JxoLCwEEVFRd7t5cuXB/U+3/2mTp0Ku92ue92IiIiIiIiIiIiIiIiIiIzEoHicmDNnjvfnZcuWoaSkpNP9S0pKhKD43LlzDasbEREREREREREREREREZFRGBSPE7fccgtsttZftyzL+MMf/tDp/r///e8hyzIAIC0tDVdffbXhdSQiIiIiIiIiIiIiIiIi0huD4nFi1KhRuOGGG7zb//73v/H888/73fdf//oXXnjhBe/2fffdh5ycHMPrSERERERERERERERERESkN4fZFaDIefzxx7Fy5UocOHAAAHD77bfjgw8+wLXXXouCggKUlpbitddewwcffOB9z/jx43H//febVWUiIiIiIiIiIiIiIiIiorAwKB5HcnNz8fHHH2PWrFneNcU/+OADIQjua8yYMfjwww+RkpLS7c9SFAUAUFtbC6fTGXqliahbXC4XGhoaUFNTw7ZHFEFse0TmYNsjMgfbHlHksd0RmYNtj8gcbHtE5mhve0BHnC+WSEos/ldRp2pqavDggw9i4cKFqKur07yenZ2NH//4x3jooYeQkJAQ0mfs378fgwYNCreqRERERERERERERERERBRBhw8fRt++fc2uhq4YFI9jjY2NWLZsGQ4dOoSqqirk5ORg0KBBmDZtGhyO8JIInDp1Cj179kRJSQkyMjJ0qjERdaWmpgaFhYU4fPgwevToYXZ1iOIG2x6ROdj2iMzBtkcUeWx3ROZg2yMyB9sekTna296OHTswbNgw2Gw2s6ukK6ZPj2PJycmYPXu2IcdubygZGRm8aBGZoEePHmx7RCZg2yMyB9sekTnY9ogij+2OyBxse0TmYNsjMkefPn1iLiAOALH3X0RERERERERERERERERERNSGQXEiIiIiIiIiIiIiIiIiIopZDIqTIRITE/Hb3/4WiYmJZleFKK6w7RGZg22PyBxse0TmYNsjijy2OyJzsO0RmYNtj8gcsd72JEVRFLMrQUREREREREREREREREREZATOFCciIiIiIiIiIiIiIiIiopjFoDgREREREREREREREREREcUsBsWJiIiIiIiIiIiIiIiIiChmMShOREREREREREREREREREQxi0FxIiIiIiIiIiIiIiIiIiKKWQyKk25KSkrwxz/+EZMmTUJBQQESExNRWFiI6dOn46mnnkJ5ebnZVSSKqObmZixduhS/+c1vcMkll6CoqAjp6elISEhAr169cMYZZ+DOO+/EZ599BkVRgjrmwYMHIUlSt/8NHz682/VnmyYrilQbMbJ9sO2R1YTS5nz/DRgwIOCxed2jeFVbW4uVK1fib3/7G2666SaMGjUKDocjqHYTLKtey9hWyShGtTsjngsBXiMpdhjR9mKlfbDtkZGMaHt8NiTqmlH3hr6sem2KSNtTiHTw9NNPK8nJyQqAgP+ysrKU119/3eyqEhnu2LFjynXXXaekp6d32iZ8/40aNUpZvXp1l8c+cOBA0Mf0/Tds2LBu/TewTZNVRaKNGNk+2PbIikJpc77/xo0bF/DYvO5RPBo6dKgiSVKnf4/9+/cP6zOsei1jWyWjGNHujHwuVBReIyk2GHXNi4X2wbZHRjKq7YXS7nz/8dmQYpnR94btrHptilTbc4AoTA899BAeeeQRoWzw4MHo06cPjh49ir179wIAKisrcc0116C+vh633HKLGVUliojDhw/j1Vdf1ZTn5+ejb9++SE9Px7Fjx7Br1y7IsgwA2L59O6ZOnYrXX38dV155ZdCfNW3aNCQnJ3e5X2FhYdDHZJumWKJ3GzGyfbDtkVXNmjWrW/sfPHgQxcXF3u0bbrgh6PfyukfxYPfu3YYe36rXMrZVMpIR7S6Sz4UAr5FkTUZf89pZrX2w7ZHRjGp7fDYkCiwS94ZWvTZFtO2FFVKnuPfWW28JIzVGjhyprF+/Xthn/fr1ysiRI737OBwOZc2aNSbVmMh469at8/69T5w4UfnnP/+pHDhwQLNfWVmZ8pOf/EQYmZmQkKDs2rUr4LHVoyL9HTccbNNkdUa2ESPbB9sexZPLLrtMuO6dPHky4L687lE8av9bS01NVSZPnqz85Cc/URYsWKBcdNFFYc3cURTrXsvYVsloRrQ7I58LFYXXSIoNRl3zrNw+2PYoEoy83+wOPhtSPDH63tCq16ZItz0GxSlkLS0tSlFRkfcPsW/fvkpFRYXffSsqKpQ+ffp49z3nnHMiXFuiyNmwYYNy+eWXKxs2bAhq/6efflo48c+dOzfgvkbeALJNUywwqo0Y2T7Y9iielJWVKQ6Hw/s3fPXVV3e6P697FI9efvllZceOHYrH4xHKb7755rA6Ka16LWNbpUgwot0Z+VyoKLxGUmww6ppn1fbBtkeRYlTb6w4+G1K8MfLe0KrXJjPaHoPiFLKXXnpJaJSLFy/udP/XX39d2H/58uURqilR9JswYYK3bSQlJSn19fV+9zPyBpBtmmKBUW3EyPbBtkfx5E9/+pPw9/vZZ591uj+ve0Qdwu2ktOq1jG2VzBTJ4ICiBP9cqCi8RlJsi+agOK95FMsied3jsyFR14K9N7TqtcmMtmcDUYjeeOMN788FBQWYM2dOp/tfeeWVKCgo8Pt+onh32WWXeX9uamrCwYMHI14HtmmiwIxsH2x7FE8WLFjg/blfv3644IILTKsL2x7FG6tey9hWKZ5Ew3MhwHZH1Ble84j0wWdDoq4Fe29o1WuTGW2PQXEKSWNjI7788kvv9kUXXQSHw9HpexwOB2bNmuXdfv/99w2rH5HVZGdnC9s1NTUR/Xy2aaLAjGwfbHsUT77++msUFxd7t2+55RbYbOY8jrDtUbyx6rWMbZXijdnPhQDbHVFneM0j0gefDYmCE8y9oVWvTWa1PQbFKSQ7duxAc3Ozd3vKlClBvc93v5KSElRWVupeNyIrUo/yys3Njejns00TBWZk+2Dbo3jy4osven+WJAm33HKLaXVh26N4Y9VrGdsqxRuznwsBtjuizvCaR6QPPhsSBSeYe0OrXpvMansMilNIduzYIWwPGTIkqPep91MfhygeKYqCN99807udn5+PgQMHBvXeX/ziFxg9ejQyMzORmJiIvLw8jB8/Hj/72c+wfPnyoOvANk2xSo82YmT7YNujeFFXV4fFixd7ty+44AL079+/28fhdY8oNFa9lrGtUjwJ57kQ4DWSqDNWaB9sexQv+GxIFJxg7w2tem0yq+0xKE4hUY9Q6devX1DvU1/gzFofiyia/Pe//8W+ffu82z/4wQ8gSVJQ733jjTewbds2VFdXo6WlBcePH8f69evx1FNPYcaMGZg4cSK2bdvW5XHYpilW6dFGjGwfbHsUL1577TXU19d7t+fNmxfScXjdIwqNVa9lbKsUT8J5LgR4jSTqjBXaB9sexQs+GxIFJ9h7Q6tem8xqewyKU0jUaxdkZmYG9b6MjAxhu7a2Vq8qEVnSkSNH8NOf/tS7nZmZiQcffDDo92dnZ2PChAk4//zzMXHiROTk5Aivr127FhMmTMCHH37Y6XHYpilW6dFGjGwfbHsUL3zT42VlZeGKK64I6Ti87hGFxqrXMrZVihfhPhcCvEYSdcYK7YNtj+IFnw2Jutade0OrXpvMansMilNI6urqhO3k5OSg3qfejxcLimcNDQ248sorUVFR4S177rnnkJWV1en7xo0bh3/84x/Yv38/Tp48iTVr1uDLL7/E6tWrUV5ejvXr1+Oqq67y7t/Y2IhrrrkGmzZtCnhMtmmKJXq3ESPbB9sexYNdu3Zh1apV3u0bbrgBiYmJQb+f1z2i8Fn1Wsa2SvEg1OdCgNdIos5YrX2w7VE84LMhUde6e29o1WuTWW2PQXEKicvlErYdDkdQ73M6nZ0ehyheuN1uXHvttVi3bp237K677sLVV1/d6fsGDBiA9evXY/78+QHXlxs3bhzeeOMNPP30096yhoYG3HPPPQGPyzZNscKINmJk+2Dbo3jwwgsvCNvdSY/H6x6RPqx6LWNbpVgX6nMhwGskUWes2D7Y9ige8NmQqHOh3Bta9dpkVttjUJxCkpqaKmw3NTUF9b7GxsZOj0MUD2RZxo033ogPPvjAW3b11Vfjqaee0vVz7r77btx6663e7ZUrV2L9+vV+92WbpngUbBsxsn2w7VGsc7lcWLRokXf7rLPOwpgxYwz5LF73iAKz6rWMbZViWaSeCwFeI4k6Ey3tg22PYh2fDYk6F+q9oVWvTWa1PQbFKSRpaWnCdkNDQ1DvU++Xnp6uW52IrECWZfzwhz/Ea6+95i2bO3cuXnnlFdjtdt0/73/+53+E7U8//dTvfmzTFK+CaSNGtg+2PYp1H374IY4fP+7dvu222wz9PF73iPyz6rWMbZViVaSfCwFeI4k6Ew3tg22PYh2fDYkCC+fe0KrXJrPaHoPiFJJevXoJ22VlZUG9T71fTk6ObnUiinayLGPevHnCqMg5c+bg1VdfDTo9SHcVFRWhf//+3u1du3b53Y9tmuJVMG3EyPbBtkex7sUXX/T+nJKSguuuu87Qz+N1j8g/q17L2FYpFpnxXAjwGknUmWhoH2x7FOv4bEjkX7j3hla9NpnV9hgUp5AMHz5c2D506FBQ71Pvpz4OUaySZRm33XYbXnrpJW/ZFVdcgddff12zDobe8vPzvT+fPHnS7z5s0xTPumojRrYPtj2KZWVlZfjkk0+821dddRV69Ohh+OfyukekZdVrGdsqxRoznwsBXiOJOmN2+2Dbo1jGZ0Mi//S4N7TqtcmstsegOIVk1KhRwvbGjRuDep/vfgkJCRg8eLCu9SKKRu0XtwULFnjLrrjiCixevDgiHR++KUWSk5P97sM2TfGsqzZiZPtg26NY9tJLL8Hj8Xi3582bF5HP5XWPSMuq1zK2VYolZj8XArxGEnXG7PbBtkexjM+GRFp63Rta9dpkVttjUJxCUlhYiKKiIu/28uXLg3qf735Tp041bK0somhhdsdHc3Mz9u7d693Oy8vzux/bNMWrYNqIke2DbY9ime+1b/DgwZg2bZrhn8nrHpF/Vr2Wsa1SrDD7uRDgNZKoM9HQPtj2KJbx2ZBIpOe9oVWvTWa1PQbFKWRz5szx/rxs2TKUlJR0un9JSYnwBzt37lzD6kYUDRRF0Vzc5syZE9GOj7ffflsYFTl16tSA+7JNUzwKto0Y2T7Y9igWrVixAnv27PFuR2omAK97RIFZ9VrGtkpWFw3PhQCvkUSdiZb2wbZHsYjPhkQiI+4NrXptMqXtKUQh2rZtm2Kz2RQACgDltttu63T/efPmefdNS0tTysvLI1RTosiTZVn4mwegXHnllUpLS0vE6nD8+HGlX79+3s9PTU1VTp48GXB/tmmKN91pI0a2D7Y9ikU333yz9+/UbrcrpaWlhn8mr3sU63zbVf/+/bv9fqtey9hWyUzhtrtoeC5UFF4jyXrCbXvdEU3tg22PzGZE2+OzIVEHo+4NrXptMqPtMShOYbnpppuEBvyvf/3L737PPfecsN/DDz8c4ZoSRY4sy8rtt98u/M3PnTtXcblcYR3322+/Ve644w5l165dXe67ZcsWZeTIkUIdfvOb33T5PrZpsjKj24iR7YNtj2JJTU2NkpKS4v07vfTSS0M6Dq97RCI9Oimtei1jWyWzhNPujHouVBReIyn2hdP2rN4+2PbITHoHxflsSNTByHtDRbHutSnSbU9SFEUBUYhOnDiBSZMm4cCBA96ySy+9FNdeey0KCgpQWlqK1157DR988IH39fHjx2PZsmVISUkxo8pEhlu8eDGuueYa77YkSTjvvPPgcDiCPsa9996LmTNnCmXLli3DueeeCwA4/fTTcd5552HMmDHIy8tDeno66urqsHfvXnz22Wf46KOPIMuy970zZ87Ehx9+iISEhE4/l22arMzoNmJk+2Dbo1jyr3/9C3fccYd3+91338Xll1/e7ePwukfx6pFHHsEjjzyiKXe5XMLfeWJiomafG2+8Ec8//3zAY1v1Wsa2SkYzot0Z9VwI8BpJscOItmf19sG2R5Fg5P2mLz4bEnUw8t4QsO61KeJtL6RQOpGPnTt3CulIOvs3ZswY5fjx42ZXmchQCxYsCKo9dPZvwYIFmuN+9dVXIR3r5ptvVurq6oKuP9s0WVUk2oiR7YNtj2LFxIkTvX+rvXv3DnnUM697FK9++9vfhnwPefPNN3d5fKtey9hWyUhGtDujngsVhddIih1GtL1YaB9se2Q0o+832/HZkKiDkfeG7ax6bYpk27OBKEzDhw/H1q1bMX/+fKSlpfndJzs7G7/+9a+xbt065ObmRriGRLFh4MCBuOGGGzB48OAu93U4HLjsssuwZMkSvPTSS0hNTQ36c9imyaoi0UaMbB9sexQLduzYgTVr1ni3b7755m6NevbF6x6RMax6LWNbJerAayRRYLHQPtj2KBbw2ZAo8qx6bYpk22P6dNJVY2Mjli1bhkOHDqGqqgo5OTkYNGgQpk2bFvJFj4i0Tp48iS1btqC8vBwVFRWoqqpCUlISevbsiSFDhuCss85CcnJy2J/DNk1WFYk2YmT7YNsjEvG6R2QMq17L2FaJOvAaSRRYLLQPtj0iUSy0a6JIsOq1yei2x6A4ERERERERERERERERERHFLKZPJyIiIiIiIiIiIiIiIiKimMWgOBERERERERERERERERERxSwGxYmIiIiIiIiIiIiIiIiIKGYxKE5ERERERERERERERERERDGLQXEiIiIiIiIiIiIiIiIiIopZDIoTEREREREREREREREREVHMYlCciIiIiIiIiIiIiIiIiIhiFoPiREREREREREREREREREQUsxgUJyIiIiIiIiIiIiIiIiKimMWgOBERERERERERERERERERxSwGxYmIiIiIiIhi3IwZMyBJEiRJwsMPP2x2dYiIiIiIiIgiikFxIiIiIiIiIpMdPHjQG7TW+9/BgwfN/s8jIiIiIiIiMhWD4kREREREREREREREREREFLMcZleAiIiIiIiIKN4lJydj1qxZXe63du1aVFVVAQCSkpIwffr0oI5NREREREREFM8kRVEUsytBRERERERERF2bMWMGli9fDgDo378/U6MTERERERERBYHp04mIiIiIiIiIiIiIiIiIKGYxKE5ERERERERERERERERERDGLQXEiIiIiIiKiGDdjxgxIkgRJkvDwww8H3G/AgAHe/V566SUAgMfjwZtvvonLL78cRUVFSEpKQmZmJs455xw8//zz8Hg8muPU1tbiiSeewNSpU9GzZ08kJCSgoKAAc+fOxZIlS0L6b1i7di1+8YtfYPz48cjPz0diYiJycnJw+umn4+c//zk2btwY0nGJiIiIiIgo9jnMrgARERERERERRafS0lJcf/313nXM2zU3N+Prr7/G119/jddffx0ffPABkpOTAQArVqzAtddei7KyMuE9ZWVlePvtt/H222/j5z//OZ544omg6nDkyBHMnz8fH3zwgea1iooKVFRUYMuWLfjb3/6GG2+8Ef/85z+RkpIS4n8xERERERERxSIGxYmIiIiIiIhIo66uDhdeeCG2b98OABg4cCD69++PhoYGbNq0CS0tLQCAJUuW4MYbb8Sbb76JlStXYtasWWhqaoIkSRg1ahRyc3Nx4sQJbNu2zXvsJ598EkVFRbjrrrs6rcPmzZtx8cUXo7S01FvmdDoxcuRIZGdno6amBlu3bkVzczMURcHChQtRXFyMJUuWIDU11YBvhYiIiIiIiKyI6dOJiIiIiIiISOPhhx/G9u3bMXnyZGzcuBH79+/HV199hTVr1qC0tBSXX365d9+33noLn332Ga655ho0NTXh1ltvxdGjR7F161YsWbIEW7duxdatWzF06FDve371q1+hrq4u4OdXVFTgkksu8QbEMzMz8Y9//ANVVVXYtGkTlixZgnXr1qGyshKPPfYYEhISAABr1qzB3XffbdC3QkRERERERFbEoDgRERERERERaVRUVGD69OlYunQpzjjjDOG17OxsLF68GEVFRd6yyy67DGVlZXjggQfwwgsvID8/X3jPaaedhnfffRd2ux0AUFNTg7fffjvg5//kJz/BkSNHAAD5+flYv3495s+fr5kBnpKSgvvvvx/vvfcebLbWbo4FCxZwjXEiIiIiIiLyYlCciIiIiIiIiDTsdjsWLFiAxMREv68nJCRg3rx53u2WlhYMHToUjzzySMBjjhgxAueee653++uvv/a73759+7B48WLv9gsvvIBBgwZ1Wt+LLroIP/zhD73bTz/9dKf7ExERERERUfxgUJyIiIiIiIiINGbOnImBAwd2us+kSZOE7VtvvRUOhyPo9+zYscPvPosWLYIsywCAkSNHYvbs2cFUGTfffLP35y+++CKo9xAREREREVHsY1CciIiIiIiIiDTOPvvsLvfJy8vr9nt806pXVVX53Wf58uXeny+44IIuj9nu9NNP9/5cWlqKsrKyoN9LREREREREsavz4dtEREREREREFJfUAW9/UlJSwnpPQ0OD3322bNni/fnTTz/FRRdd1OVx/SkvL9esbU5ERERERETxh0FxIiIiIiIiItJISEgw/D2KomjKZFnGqVOnvNu7d+/G7t27u10XAMJxiIiIiIiIKH4xfToRERERERERRY3GxkbveuLh0us4REREREREZG0MihMRERERERFR1EhNTYXT6fRuP//881AUJaR/M2bMMO8/hIiIiIiIiKIGg+JEREREREREFFV69+7t/TnU1OlERERERERE7RgUJyIiIiIiIqKoMnnyZO/Pn3/+uYk1ISIiIiIioljAoDgRERERERERRZWLL77Y+/PmzZuxcuVKE2tDREREREREVsegOBERERERERFFleuuuw6FhYXe7TvvvBM1NTUm1oiIiIiIiIisjEFxIiIiIiIiIooqCQkJ+Mtf/uLd3rFjB84991zs2bOny/fu2rULd999Nx5//HEjq0hEREREREQW4jC7AkREREREREREaldffTW2bNmCP/7xjwCAjRs3YsSIEbjsssswc+ZMFBUVIS0tDTU1NSgtLcWmTZuwdOlS7NixAwDw29/+1szqExERERERURRhUJyIiIiIiIiIotIjjzyCgoIC/OxnP4PL5YLH48E777yDd955x+yqERERERERkYUwfToRERERERERRa358+ejuLgYt99+O3r06NHpvmlpafje976H//znP7j//vsjVEMiIiIiIiKKdpKiKIrZlSAiIiIiIiIi6orH48H69euxc+dOVFRUoKmpCWlpacjLy8OwYcNw2mmnweFgUjwiIiIiIiISMShOREREREREREREREREREQxi+nTiYiIiIiIiIiIiIiIiIgoZjEoTkREREREREREREREREREMYtBcSIiIiIiIiIiIiIiIiIiilkMihMRERERERERERERERERUcxiUJyIiIiIiIiIiIiIiIiIiGIWg+JERERERERERERERERERBSzGBQnIiIiIiIiIiIiIiIiIqKYxaA4ERERERERERERERERERHFLAbFiYiIiIiIiIiIiIiIiIgoZjEoTkREREREREREREREREREMYtBcSIiIiIiIiIiIiIiIiIiilkMihMRERERERERERERERERUcxiUJyIiIiIiIiIiIiIiIiIiGIWg+JERERERERERERERERERBSz/j80Bmn6b8DTBAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 2000x1600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.lines import Line2D\n",
    "# constraints bounds\n",
    "Umin = umin * np.ones([nsteps_test, nu])\n",
    "Umax = umax * np.ones([nsteps_test, nu])\n",
    "Ymin = trajectories['ymin'].detach().reshape(nsteps_test+1, nref)\n",
    "Ymax = trajectories['ymax'].detach().reshape(nsteps_test+1, nref)\n",
    "# plot closed loop trajectories\n",
    "fig, ax = pltCL(Y=trajectories['y'].detach().reshape(nsteps_test+1, ny),\n",
    "        R=Ymax,\n",
    "        X=trajectories['x'].detach().reshape(nsteps_test+1, nx),\n",
    "        D=trajectories['d'].detach().reshape(nsteps_test+1, nd),\n",
    "        U=trajectories['u'].detach().reshape(nsteps_test, nu),\n",
    "        Umin=Umin, Umax=Umax, Ymin=Ymin, Ymax=Ymax)\n",
    "# add custom legends to plots\n",
    "custom_lines = [Line2D([0], [0], color='k', lw=2, linestyle='--'),\n",
    "                    Line2D([0], [0], color='tab:blue', lw=2, linestyle='-')]\n",
    "custom_lines_x = [Line2D([0], [0], color='tab:blue', lw=2, linestyle='-'),\n",
    "                    Line2D([0], [0], color='tab:orange', lw=2, linestyle='-'),\n",
    "                    Line2D([0], [0], color='tab:green', lw=2, linestyle='-'),\n",
    "                    Line2D([0], [0], color='tab:red', lw=2, linestyle='-')]\n",
    "custom_lines_d = [Line2D([0], [0], color='tab:blue', lw=2, linestyle='-'),\n",
    "                    Line2D([0], [0], color='tab:orange', lw=2, linestyle='-'),\n",
    "                    Line2D([0], [0], color='tab:green', lw=2, linestyle='-')]\n",
    "ax[0, 0].legend(custom_lines, ['Bounds', 'Controlled zone temperature'], fontsize=15, loc=\"best\")\n",
    "ax[1, 0].legend(custom_lines_x, ['Floor temperature', 'Interior facade temperature', 'Exterior facade temperature', 'Controlled zone temperature'], fontsize=15, loc=\"best\")\n",
    "ax[2, 0].legend(custom_lines, ['Bounds', 'Zone HVAC heat flow'], fontsize=15, loc=\"best\")\n",
    "ax[3, 0].legend(custom_lines_x, ['Outdoor air temperature', 'Occupant heat load', 'Solar irradiance'], fontsize=15, loc=\"best\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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